Type a line.
Get a finished song.
With paperwork.

Flow Music turns a one-line text description into a finished song with vocals, instruments, and lyrics. You type something like 'lo-fi piano with soft drums for studying' or 'upbeat synth pop for a product launch video,' the AI drafts the lyrics or uses your own, and a complete track comes back in under a minute. You can switch to instrumental mode in one tap if you want a backing track without vocals. The result downloads as 44.1kHz WAV or MP3 with full commercial rights on paid plans.

C2PA is an open standard for digital content provenance — a cryptographic watermark embedded in a file that records who made it, how, and when. For AI music in 2026 this matters because Spotify, YouTube, Apple Music, YouTube Music, and TikTok have rolled out AI disclosure rules. Tracks generated by AI need to be tagged at upload to comply with the new rules and avoid takedowns. Flow Music embeds a C2PA-compatible credential in every export, which means you can distribute and monetize the track on those platforms with the AI disclosure already taken care of. The watermark is for provenance — it is not designed as detection bait, and Flow Music's outputs do not match major-label fingerprints, so platform rejections for similarity reasons are not a Flow Music problem.

Yes on paid plans. Every track generated through a paid Flow Music subscription is royalty-free and cleared for commercial release — including paid social ads, client deliverables, monetized YouTube uploads, podcasts, and product video. Paid plans also include a one-click PDF license certificate that lists the prompt used, model version, and generation timestamp. That paperwork is what your finance team, your client, or your distributor will ask for when AI music shows up in a serious project. Free credit-tier output is watermarked preview-only and not cleared for commercial use — upgrade before using in any monetized context.

Not because of anything Flow Music does. The C2PA watermark Flow Music embeds is designed for provenance disclosure, not as a fingerprint that platforms can scan against. Flow Music's outputs do not match major-label fingerprints because the generation engine produces genuinely original compositions rather than re-synthesizing existing tracks. Platform rules about AI-generated content are evolving — currently Spotify, YouTube, Apple Music, and TikTok require disclosure but allow monetization when AI music is properly tagged at upload. If a future rule changes, that is a platform-policy issue rather than a Flow Music defect. Tag your uploads as AI-generated, attach the PDF license certificate if your distributor accepts it, and most workflows pass.

Realistic enough for most short-form, podcast, and game-soundtrack work. Vocals support multiple languages with male, female, and custom tone selections plus emotional delivery options. Stylistically distinctive vocal types — vocoded pop, hip-hop delivery, lo-fi bedroom-pop — render more convincingly than neutral commercial pop or genres that depend on subtle human imperfection like blues or jazz scat. For dialogue-quality cinematic or theatrical vocal work, the AI still falls short of human session performers. Run a 15-second preview before committing a full song to a production deliverable.

Stem separation gives you the individual instrument tracks — vocals, drums, bass, melody, harmony — as separate audio files instead of one mixed-down master. This matters when you want to bring the track into a DAW for additional production work, replace one element while keeping the rest, mute the vocal for a karaoke version, or build a remix. Stem export is included on Studio-tier plans. Output stems match the same 44.1kHz quality as the master mix and stay properly licensed under the same commercial terms as the full track.

Flow Music uses a credit-based freemium model. Free tier includes daily credits that cover a few generations with watermarked preview output — enough to test the workflow but not cleared for commercial use. Paid plans range from a Creator monthly tier around $12-13 that unlocks full WAV export, removes the watermark, and includes the PDF license certificate, up to Studio tier around $29-30 that adds stem separation, priority generation queue, and higher monthly credit pools. Annual plans typically discount the monthly rate. Verify current pricing on the App Store or website before subscribing — credit costs per song and per stem can shift between app versions.

All three are text-to-song AI generators with vocals, and the raw generation quality on a typical pop or hip-hop prompt is similar enough that the choice rarely comes down to audio quality alone. The differences sit elsewhere. Suno has the largest user base and the deepest community of prompts and shared songs. Udio focuses on extended song structures and longer tracks. Flow Music's differentiation is the licensing layer — C2PA content credentials embedded by default, PDF license certificates per generation, explicit cleared-for-commercial output on paid plans. For a creator who plans to actually use AI music in client work, monetized uploads, or paid campaigns, that paperwork is where the real value sits. For exploratory songwriting, any of the three works.

Flow Music is operated as Flow Music AI with the official website at flowmusicai.app. Support runs through [email protected] — the team responds to feature requests, licensing questions, and bug reports through that channel. The product is a newer entrant in the AI song generator category compared to Suno (founded 2023, multiple funding rounds and headlines) or Udio (founded 2023, backed by Andreessen Horowitz). Flow Music has not raised similar public funding rounds, which is a normal trade-off — newer entrants compete on specific feature focus like the licensing layer rather than brand reach. If the AI music space's regulatory landscape matters to your use case, Flow Music's C2PA-first approach is the active differentiator.