Suno AI Guide: How to Create Better Songs, Prompts & Music

 Inside Suno: How an AI Song Generator Became a Complete Music Studio

Suno began with a simple promise: describe a song and hear one appear. In 2026, that idea has grown into something much closer to a working music environment. You can start with text, a voice memo, MIDI, an image, a video or a rough musical fragment — then keep shaping the result instead of accepting the first generation.

Suno has evolved from a simple text-to-song generator into a much broader AI music-production environment.

A song from one sentence — and then what?

A few years ago, AI music was mostly a party trick. Type a sentence, wait a moment, and out came a surprisingly convincing song. You did not need to play piano, understand harmony, own a microphone or know what a compressor was. Ask for “a melancholy synth-pop song about leaving Earth,” and suddenly there was a chorus.

That version of Suno is already outdated.

By September 2026, Suno looks less like a song generator and more like an AI-native studio. The v6 family can build full tracks from text, audio, images or video; revise one section without throwing away the rest; combine ideas from several songs; isolate samples; and even change a single lyric while preserving the performance around it. Studio 2.0 adds MIDI, effects, automation, a wavetable synth and a conversational chat bar inside a multitrack workspace.

So the interesting question is no longer whether AI can make a song. It can. The harder question is whether you can direct it closely enough to make the song you had in mind.

That is the purpose of this guide. We will trace Suno’s rapid evolution, look at the current v6 models and plans, then move into the part that matters most in practice: prompts, lyrics, vocals, editing, stems, MIDI, rights, common mistakes and the techniques that make results more predictable. The final section looks at Suno’s announced direction without turning product hints into science fiction.

From Bark to v6: how Suno got here

Suno was founded in 2022 by a team that had previously worked together at the AI company Kensho. The first public steps were not a polished “song machine.” In 2023 the team released Bark, an open text-to-audio model. Users quickly pushed it toward the use case that would define the company: music.

From there, the product moved fast. v3 arrived in early 2024 with longer clips, instrumental support and cleaner audio. v3.5 stretched single generations toward full-song length. v4 followed in November 2024, improving lyrics, structure and sound quality while expanding tools such as Remaster, Covers and Personas.

The pace did not slow in 2025. v4.5 improved prompt interpretation, vocal range and genre control. A more capable Song Editor, stem extraction and longer audio uploads followed. Then Suno made a more consequential move: Studio launched in September as a generative audio workstation with a multitrack timeline, BPM controls, stem generation and export.

v5 arrived that same month. By March 2026, v5.5 added Voices, Custom Models and My Taste — features aimed less at producing a random good song and more at producing music that keeps some trace of the same creator. Studio 2.0 followed in August with MIDI, effects, automation, synths and a conversational chat bar.

v6, released on September 9, 2026, pushed that shift further. The headline is not simply better audio. The model is designed to live inside an editing process: revise a section, reuse references, isolate material, rebuild part of a track, then keep working. Suno is moving away from the slot-machine feeling of early AI music and toward something closer to an instrument you can iterate with.

In just a few years, Suno moved from experimental generative audio to a complete creation-and-editing workflow.

What Suno actually is in 2026

Modern Suno makes more sense if you stop treating it as a single generator. It is now a collection of creation, editing and production tools built around the same music models.

The model layer is v6, v6-wild or v6-mini. The Create interface sits above it: describe a song, paste lyrics, upload audio, choose a Voice, reuse a style, exclude unwanted elements and adjust how much variation you want. After generation, Remix/Edit tools handle Extend, Cover, Replace Section, Crop and other revisions. Stem separation breaks the mix back into workable parts. Premier users can then move into Studio for deeper multitrack production.

That changes the workflow. A beginner can still type one sentence and stop. A producer can start from a rough piano idea, audition several arrangements, preserve a vocal identity, replace a weak chorus, split the track into stems, add MIDI, automate effects and export the parts into another DAW.

Which Suno model should you use?

Model	Best for	Main character	Availability
v6	Final versions and controlled work	Precise, polished, reliable	Pro / Premier
v6-wild	Exploration and unexpected ideas	More varied, less predictable	Pro / Premier
v6-mini	Fast sketches and high-volume idea testing	Lightweight and quick	All plans

A useful model strategy: Use v6-mini when the idea itself is still uncertain. Use v6-wild when the idea is too safe. Use v6 when you know what you want and are trying to finish it.

Plans and pricing: what you actually get

Pricing is the least evergreen part of any Suno guide, so treat the numbers below as a dated snapshot. As of September 2026, Suno’s public pricing page lists:

Plan	Price*	Generation credits	Downloads	Key access
Free	$0	50 per day	Up to 7 lifetime trial downloads	v6-mini, standard features, no commercial rights
Pro	$8/mo billed annually	2,500 per month	20 per month	v6/v6-wild, Voices, Custom Models, Pro editing, commercial use
Premier	$24/mo billed annually	10,000 per month	60 per month	Suno Studio 2.0, advanced stems, all Pro features, commercial use

*Annual-plan pricing shown. Monthly pricing is higher, and Suno can change prices, download limits or plan features. Check the current pricing page before paying.

Your first good Suno song: a beginner workflow

The easiest way to waste credits is to ask for “a great song” and treat the first generation as a finished record. A better mindset is to treat generations as drafts: useful material to audition, keep, reject or reshape.

Start by making one or two musical decisions that actually matter. Intimate or huge? Acoustic or electronic? Dark or warm? Danceable or cinematic? Suno can juggle complexity, but it still needs a human to decide what the track is trying to be.

Step 1: begin with a clear musical sentence

A weak prompt:

Weak prompt: “Emotional pop song.”

A better prompt:

Better prompt: “Mid-tempo synth-pop, 108 BPM, intimate female lead, warm analog bass, restrained drums, wide chorus, bittersweet but hopeful mood.”

The second prompt is not longer for the sake of being longer. It tells Suno what kind of groove, voice, instrumentation, scale and emotional temperature the song should have — enough to establish a direction without writing a paragraph of contradictions.

Step 2: use Simple mode for ideas, Custom mode for control

Simple mode works well when the concept matters more than the exact words. Describe the song, generate a few versions and listen for an idea worth keeping.

Custom mode is where repeatable work begins. Lyrics and Style are separated, you can bring your own words, choose instrumental output and use more advanced controls. If you want to direct the result instead of simply being surprised by it, move to Custom mode early.

Step 3: generate options, not “the answer”

Think of each generation as an audition. Listen first for the things that are expensive to fix later: the core melody, the vocal character, the groove and the emotional shape of the song.

Do not burn ten generations trying to repair a hi-hat pattern when the chorus itself is forgettable. Choose the version with the strongest musical DNA, then fix local problems with local tools.

Step 4: edit the weak section instead of restarting

This is one of v6’s most useful changes. If the verse works and the chorus does not, regenerating the entire song is usually the wrong move. Replace Section or plain-language local editing lets you attack the weak spot directly.

Be literal about the edit: “Keep the verse and production. Make the chorus wider, add stacked harmonies, and move the vocal melody higher without changing the tempo.” Good editing instructions say what stays, what changes and where the change should happen. They do not try to impress the model.

A practical Suno workflow: generate broadly, choose the strongest idea, then refine and edit only what needs changing.

How to write Suno prompts that actually help

Writing a Suno prompt is closer to briefing a producer than issuing a command to a spreadsheet. Give the model enough to establish a musical world, but not so much that the instructions pull in six directions at once.

A practical prompt usually needs only a handful of layers: genre or production language, tempo and groove, key instruments, vocal character, sonic texture and emotional direction.

Prompt formula: [Genre / production language] + [tempo / groove] + [lead instruments] + [vocal character] + [mix / texture] + [emotional direction].

Example: cinematic synth-pop

Prompt: “Cinematic synth-pop at 104 BPM, pulsing analog bass, glassy arpeggiators, tight electronic drums, intimate low female vocal in the verses, soaring layered chorus, nocturnal city atmosphere, clean modern mix with a slightly nostalgic 1980s edge.”

Example: alternative rock

Prompt: “Urgent alternative rock, 132 BPM, dry punchy drums, distorted rhythm guitars, melodic bass, imperfect human-sounding male vocal, tense verses that open into a huge singalong chorus, minimal studio gloss.”

Example: Afrobeat-inspired pop

Prompt: “Bright Afrobeat-inspired pop at 118 BPM, syncopated percussion, warm bass, clipped clean guitar, airy synth accents, conversational lead vocal, call-and-response backing vocals, energetic but relaxed summer feel.”

Be specific about what matters — not everything

“More detail” is not automatically better. The real problem is conflicting detail. Ask for lo-fi intimacy, stadium drums, a minimalist arrangement, orchestral density, raw demo vocals and glossy radio mastering at the same time, and the prompt has no center. That is not sophisticated direction; it is six different records arguing with one another.

Pick two or three traits that define the song. Let everything else support them.

Use Exclude as aggressively as Style

If Suno keeps adding something you dislike, stop hoping the next generation will magically drop it. Custom mode gives you an Exclude field for unwanted instruments and characteristics.

Useful exclusions are plain and specific: “no trap hi-hats,” “no electric guitar,” “no choir,” “no spoken intro,” “no orchestral strings.” A clean negative instruction often works better than piling more adjectives into the Style box.

Control Variety when you need repeatability

v6 also includes a Variety control. Push it higher when you want Suno to reinterpret the brief and surprise you. Pull it lower when the style already works and you want the next version to stay in the same neighborhood.

A simple rule: raise Variety while searching; lower it while finishing.

When Max Mode is worth the extra credits

Suno describes Max Mode as the option for work where consistency matters enough to justify extra credits: longer songs, covers that need to stay close to their source, style transfer and cases where the vocal or production should remain stable across the track.

It is not a default quality switch. For quick sketches and early exploration, standard generation is usually the smarter use of credits.

Lyrics: how to stop the song from fighting your words

AI music often falls apart in a very human place: phrasing. A lyric can be perfectly grammatical and still be miserable to sing. Too many syllables get forced into one bar, a word is stretched in the wrong place, or a sentence races because it was written like prose rather than music.

The fix is usually not another generation. Write for breath, stress and rhythm.

Use section markers

Suno’s own guidance recommends structure labels such as [Intro], [Verse], [Pre-Chorus], [Chorus], [Bridge] and [Outro]. They are not magic commands, but they give the model a useful map of the song.

Example structure: [Intro]

[Verse 1]

[Pre-Chorus]

[Chorus]

[Verse 2]

[Chorus]

[Bridge]

[Final Chorus]

[Outro]

Write shorter lines than you think you need

If the singer has to sprint through a line, cut words before blaming the model. Lyrics that read elegantly can still be rhythmically overcrowded.

Read every line aloud over a steady beat. If you instinctively swallow words to stay in time, rewrite the line.

Do not outsource the hook too early

Fully generated lyrics are fine when the words are secondary. If the song matters to you, the chorus is usually where your own taste has the most leverage.

A good compromise is to write the hook yourself, let Suno draft verses around it, then rewrite those verses after hearing how the melody wants to phrase them. You keep the memorable idea; AI helps you get past the blank page.

Fix one lyric instead of rebuilding the song

v6 can change a word or line without forcing the whole performance to start over. That sounds small until you have a take you love except for one clumsy lyric. Earlier AI music workflows often punished tiny edits with an entirely different song. Local lyric editing finally makes small corrections behave like small corrections.

Voices, Personas and Custom Models: how to make Suno sound less random

Early AI music had an identity problem. You could generate one convincing track, then ask for a follow-up and get what sounded like a completely different artist.

Suno now offers several ways to keep a recognizable thread across songs. They overlap, but they are not interchangeable.

Voices: carry your own vocal identity into generated songs

Voices lets you record or upload your own voice, verify ownership and use it in generated songs. The quality of the source matters. Suno recommends a quiet, acoustically neutral recording; a clean a cappella take is the safest starting point.

Voice modeling cannot rescue a poor recording. Noise, heavy room reverb or a flat performance gives the model less useful information to work with.

This is also where the ethical line becomes important. Voice modeling is powerful precisely because identity is valuable. For the wider issue of consent, synthetic singers and misuse, see AI Voice Models and Deepfakes in Music.

Personas: preserve a track’s style and character

Personas capture the character of an existing Suno track — its vocal feel, style and broader identity — so later generations can live in the same world. Think “more songs from this fictional artist,” not “use my actual voice.”

Custom Models: teach Suno your catalog

Pro and Premier users can build private Custom Models from as few as six tracks they own. In 2026 those models run on v6. For musicians with an existing catalog, this may be the most consequential consistency tool Suno offers: instead of describing your sound from scratch every time, you can give the system examples of it.

Choose those examples carefully. Six wildly different tracks teach a blurrier identity than a coherent mini-catalog. If you want a focused model, feed it songs that genuinely share the traits you want Suno to preserve.

My Taste: useful for discovery, less useful for strict control

My Taste personalizes style suggestions around what you listen to and create. It is useful when you want Suno to help put your preferences into words. If you already know exactly what you want, write the production language yourself and keep Variety relatively conservative.

Modern Suno is increasingly about consistency — preserving a recognizable voice, style and musical identity across multiple tracks.

Editing: stop regenerating the whole song

Extend

Use Extend when the track needs somewhere new to go: another verse, a longer instrumental passage, a different ending. Pick the handoff point, add whatever lyrics or style information should guide the continuation, generate alternatives and keep the branch that feels like it belongs to the same song.

Cover

Cover is for a bigger reinterpretation. The underlying song survives, but the style, timing or performance can change substantially. If you want your electronic track recast as jazz, Cover is the right family of tool; Remaster is not.

Remaster

Remaster is for a song you already like. The goal is not to rewrite the composition but to produce a cleaner or slightly different version of it. The current tool offers Subtle, Normal and High variation strengths.

Use Subtle when the issue is polish, balance or pronunciation. Use High only when you are comfortable with real creative drift. If the lyrics or arrangement themselves are wrong, fix those first.

Replace Section

Replace Section may be the most valuable editing tool in the platform. If eight seconds are wrong, fix eight seconds. Mark the passage, say what should stay stable, describe what should change and leave the rest of the song alone.

Stems: the bridge from AI song to actual production

A stereo mix is convenient for listening; it is restrictive for production. Stems pull the song back apart into vocals, drums, bass, guitar, keys and other elements so you can rebalance, mute, process or replace them.

Suno’s current separation tools can create multiple parts, including up to 12 stems with Auto Split, while Premier users can target a broader instrument list through Advanced Split.

This is where a generated song starts to behave like material rather than a finished object. Love the bass line but hate the vocal? Keep the bass. Prefer your own drums? Mute the AI kit and replace it. Stems let you preserve the good decisions without accepting the bad ones.

Suno Studio 2.0: the moment Suno stopped being just a generator

Studio 2.0 is the clearest evidence that Suno wants to live inside the production process, not just at the beginning of it. It is a browser-based multitrack workspace with generative tools built into the timeline.

You can import, record and edit MIDI, using a controller or even the computer keyboard. More interestingly, MIDI clips can themselves guide generated audio. A rough chord progression or melody can therefore become the skeleton for a more realistic instrument performance.

The chat bar can generate instruments and vocals, help design effects or synth presets, and respond to production instructions such as BPM changes. Studio also includes familiar DAW concepts: effects, sidechain compression, convolution reverb, automation and a wavetable synthesizer.

The important shift is conceptual. AI music is moving from “generate and accept” to “generate, listen, keep, replace, automate and export.” That is much closer to the way real production works.

Practical Studio workflow: Start with the best Suno generation, split it into stems, mute the weakest part, replace or regenerate only that layer, add your own MIDI or audio, automate the mix, then export multitracks for final work.

For a different branch of the same idea — music that changes dynamically around visual media — see How AI Is Transforming Soundtracks for Movies and Video Games.

18 Suno tips that save credits and produce better results

1. Use v6-mini as a sketchbook. If you are still choosing between genres, moods or tempos, speed matters more than polish.

2. Use v6-wild when the track feels generic. Let it surprise you, then bring the strongest idea back into v6 for more controlled refinement.

3. Keep the first prompt focused. One clear musical identity beats a paragraph of competing adjectives.

4. Describe the groove, not only the genre. “Hip-hop” is broad. “90 BPM, laid-back swing, deep kick, sparse snare” gives the rhythm section an actual job.

5. Give the singer direction. “Female vocal” says almost nothing. “Close, intimate alto in the verses; layered harmonies in the chorus” says much more.

6. Use Exclude before adding more prose. If the same unwanted instrument keeps appearing, tell Suno what not to use.

7. Write lyrics for mouths, not pages. Shorter lines, clearer stresses and fewer filler words usually sing better.

8. Put your strongest human idea in the chorus. AI is excellent at filling gaps; the hook is where your taste has the most leverage.

9. Generate several drafts before you edit. Do not polish the first acceptable version if another take has a much better melody.

10. Judge the song before the mix. A mediocre mix can be improved. A boring chorus is a structural problem.

11. Match the size of the edit to the size of the problem. One weak passage rarely justifies rebuilding the whole track.

12. Remaster late. There is little point polishing a song whose lyrics and arrangement are still moving.

13. Save identities you want to revisit. If a voice or style works, use a Voice, Persona or Custom Model instead of trying to rediscover it through prompt wording next week.

14. Keep Custom Model training sets coherent. Feed the model the sound you want, not every experiment you have ever made.

15. Treat stems as an escape hatch. A weak layer does not have to sink the whole song.

16. Reach for MIDI when words become vague. A badly played but recognizable melody can communicate pitch and rhythm more clearly than a paragraph describing it.

17. Give versions boring names. chorus-v2, softer-vocal, no-guitar and final-remaster are far more useful than “final-final-NEW.”

18. Stop when the song works. Infinite iteration is cheap now, which makes overworking a track dangerously easy. Version 63 is not automatically better than version 12.

Three prompt recipes you can adapt

Recipe 1: emotional pop single

Style: “Modern emotional pop, 102 BPM, soft piano and muted synth verse, warm sub bass, restrained electronic drums, intimate lead vocal, huge layered chorus, bittersweet but uplifting, polished radio mix.”

Structure: [Verse 1] → [Pre-Chorus] → [Chorus] → [Verse 2] → [Chorus] → [Bridge] → [Final Chorus]

Refinement request: “Keep the melody and verse production. Make the final chorus feel 30% bigger with additional harmonies and a higher counter-melody, but no extra drums.”

Recipe 2: cinematic instrumental

Style: “Slow cinematic science-fiction score, 72 BPM, evolving analog synth drones, low strings, distant piano, restrained percussion, enormous sense of scale, starts fragile and ends luminous, no vocals, no trailer braams.”

Use case: Create two or three sketches with v6-mini, choose the strongest harmonic arc, then regenerate/refine with v6 and export stems for picture editing.

Recipe 3: turn a rough voice memo into a produced idea

Record the melody or chord idea on your phone and upload it. Then describe the role of the source, not merely the genre: “Keep the melodic contour from the voice memo, turn it into a warm electric-piano motif, and build an understated neo-soul arrangement around it.”

If the notes matter more than the original sound, keep the reference influence strong enough to preserve the idea. If you only want the mood, give Suno more room to move.

What Suno still gets wrong

Suno’s failures are subtler than they used to be, which sometimes makes them harder to notice.

The most common one is generic competence. Everything works: the chords resolve, the vocal is in tune, the mix sounds wide. And ten seconds later you cannot remember the song.

Long-form consistency has improved, but difficult arrangements can still drift. A vocal identity may change between sections. Stress can land on the wrong syllable. An instrument you explicitly requested may appear once and vanish. Odd meters, exact harmonic instructions and complex key changes remain less dependable than broad stylistic direction.

There is a deeper limitation too. Suno can reproduce the signals of emotion without having anything at stake in the emotion itself. That does not automatically make the result empty, but it shifts more responsibility onto the person choosing, rejecting and shaping the material. When generation becomes cheap, taste becomes expensive.

For working musicians, that may become the real competitive advantage: not the ability to produce sound, but the judgment to know which idea is worth finishing.

Copyright, commercial use and the part people misunderstand

Three questions tend to get mashed together: Can you monetize a Suno track? What rights does Suno give you in the output? And does copyright law in your country protect that output?

They are separate questions.

Under Suno’s current terms, Pro and Premier users can commercially exploit qualifying outputs created while on a paid plan, subject to the platform’s terms and download rules. Free-plan generations are for personal, non-commercial use. Suno also makes clear that permission to use a track commercially does not guarantee that copyright law will protect it.

A platform can give you contractual permission to monetize an output while a copyright office still asks a different question: how much human authorship is actually present?

Your original lyrics remain yours, and uploaded audio is still governed by whatever rights you already hold. But AI does not launder copyright problems. Upload material you do not control, imitate protected work too closely or monetize a remix built on someone else’s song, and the legal risk remains.

For professional work, the sensible approach is conservative: use material you control, keep a record of your own creative contribution, preserve important human-written lyrics and arrangement decisions, and treat Suno’s commercial-use terms as permission from Suno — not as universal legal immunity.

The industry fight changed Suno itself

Suno’s relationship with the music industry changed sharply after 2024, when major labels sued Suno and Udio over alleged use of copyrighted recordings in model training. Suno disputed that characterization and argued that its technology was transformative.

By late 2025 and 2026, the story was no longer simply labels versus AI companies. Warner Music Group settled with Suno and entered a partnership. BMG later announced a global partnership. Believe and TuneCore also moved toward distribution pathways for music created with Suno’s newer industry-partner models.

That context matters for v6. Suno says the generation was developed with music-industry partners, while the company is also adding watermarking, fingerprinting and tighter download policies aimed at fraud and mass distribution.

The legal disputes are not all over, and the rules around training, authorship and synthetic performance are still moving. But the industry is clearly entering a different phase: less “build first and argue later,” more licensing, opt-in participation and traceability.

What Suno has actually announced for the future

AI articles often go wrong at exactly this point. A company says “more control is coming,” and a headline turns it into mind-reading music by 2028. Suno has already announced enough concrete direction that there is no need to invent the rest.

One signal is v6 itself. Suno describes it as a foundation for new products that could create revenue opportunities across the music ecosystem, including opt-in experiences built around individual artists who choose to participate and be paid.

Another is the company’s growing web of partnerships with Warner Music Group, BMG, Believe and TuneCore. Together they point toward a more licensed creation-and-distribution pipeline. That does not mean every catalog becomes a prompt library. The operative phrase is opt-in.

Suno is also building the less glamorous infrastructure that a mature AI-music market needs: watermarking, fingerprinting and systems designed to help platforms identify generated tracks.

And the product is becoming increasingly interactive. Studio, MIDI-as-prompt, Voices, Custom Models, local editing and multimodal inputs all push music away from a one-click file and toward something you can keep reshaping.

What is likely next — without pretending it is announced

Some next steps are easy to imagine from today’s product, but they remain inferences rather than announcements.

Better continuity across songs is a reasonable expectation because Voices and Custom Models already aim at that problem. Finer editing is likely because v6 and Studio are moving steadily toward local manipulation. And closer links to distribution and professional workflows would fit the partnerships Suno is already making with rights holders and distributors.

The more radical possibility is controlled interactive music: songs that can be licensed, personalized and remixed while participating artists are compensated when their work or identity is used. Suno has clearly pointed in that direction, but the products, economics and guardrails are still being built.

That line between announcement and inference is worth keeping. Suno’s actual trajectory is interesting enough without inventing a roadmap for it.

Artist and listener collaboratively editing an interactive AI song using stems, MIDI, waveforms and visual references

So, is Suno a replacement for musicians?

The question is becoming too simple for the technology.

Suno can replace tasks. Stock music that once required a commission can now be generated in minutes. A brief can become a demo before a producer opens a DAW. A client can audition dozens of variations where a session might once have produced a handful. That economic pressure is real.

The same tool can also widen what one musician can do alone. A songwriter who cannot orchestrate can hear an orchestral version of a melody. A producer can test ten arrangements before lunch. A vocalist can build a full demo around a phone recording. A filmmaker can audition musical directions before commissioning the final score.

The more useful divide is not “human music versus AI music.” It is passive generation versus directed creation.

If your entire contribution is one vague prompt, the model is making most of the creative decisions. If you bring the hook, lyrics, references, taste, edits, performance, selection, stems, MIDI, arrangement choices and final mix, Suno starts to look more like an instrument — an unusually capable one, but still directed by a person.

Suno’s real achievement may be less dramatic than “AI can compose.” It has shortened the distance between hearing an idea in your head and hearing something close to it through speakers.

The harder problem comes after that. If music becomes effectively abundant, creation itself stops being the scarce resource. Attention, taste and having something worth saying become more valuable, not less.

And once AI can create almost unlimited music, a second problem becomes more important: discovery. We explore that question in AI-Powered Music Recommendations: How Neural Networks Shape Our Playlists.

FAQ: Suno AI in 2026

Is Suno free?

Yes. The Free plan currently includes 50 generation credits per day and access to v6-mini. Free outputs are intended for personal, non-commercial use, and off-platform downloads are limited.

Which Suno model is best?

Use v6 for controlled, polished work; v6-wild when you want unexpected ideas; and v6-mini for fast, inexpensive sketches.

Can I use Suno songs commercially?

Paid Pro and Premier users can commercially use qualifying outputs created under a paid plan, subject to Suno’s terms and download rules. That permission does not automatically mean the output is protected by copyright in every jurisdiction.

Can Suno use my own voice?

Yes. Voices lets eligible users record or upload a voice, verify ownership and use it in generated songs. Cleaner source recordings usually produce more consistent results.

Can I edit only one part of a Suno song?

Yes. Replace Section and v6 local editing can target specific passages, while Extend, Cover, Remaster, Crop and other Remix/Edit tools handle broader changes.

Can Suno work with MIDI?

Yes. Studio 2.0 can import, record and edit MIDI, and MIDI clips can be used to guide newly generated audio.

Does Suno replace a DAW?

For some users, Studio may be enough from idea to export. Producers who rely on detailed mixing, third-party plugins, complex routing or final mastering will still often prefer to move stems or multitracks into a conventional DAW.