🎙️ The Free Audio Generation Guide (2026)
Music · voice (TTS + cloning) · transcription — the $0 stack for a solo creator who monetizes, with a hard focus on the thing every other list glosses over: commercial licensing.
Verified June 2026. Numbers and licenses change fast. Claims are marked ✅ verified (read from a primary source — pricing page, license file, or model card) or ⚠️ verify (page was JS/login-gated or the free-plan detail wasn't exposed). Researched with a multi-model sweep (GPT-5.5, Gemini 3.1 Pro, Claude Opus 4.8) and reconciled against official sources.
This is a companion to the main Awesome Free Compute list and the Free Token-Maxxing Guide (LLMs/tokens). This file is the audio half: anything you'd need to score, narrate, and caption a video for $0. Once you've generated the audio, the Media Post-Production Guide 🎬 covers finishing it — stem separation, mastering, loudness, dubbing.
Contents
- TL;DR
- The licensing landmines
- 1. Music generation
- 2. Text-to-speech and voice cloning
- 3. Transcription and subtitles
- 4. Free GPU to run it all
- 5. The $0 creator pipeline
- Sources
TL;DR
The $0 audio stack for a creator who needs commercial rights:
| Need | Use | Why |
|---|---|---|
| 🎵 Free + commercial full songs (with vocals) | ACE-Step (Apache-2.0) on free GPU | The only open full-song model with vocals and a clean commercial license; runs on ~8 GB. |
| 🎹 Free commercial instrumental, zero setup | Adobe Firefly Generate Soundtrack (2 lifetime free) or Stable Audio Open (<$1M rev) | Hosted, royalty-free, WAV, YouTube-monetizable — but Firefly free = only 2 generations. |
| 🗣️ Free TTS narration (incl. Hindi/Hinglish) | Azure Speech F0 (0.5M chars/mo) or Google Cloud TTS (1M chars/mo) | Perpetual free tier, full commercial rights, excellent hi-IN/en-IN voices. |
| 🧬 Free + commercial voice cloning | GPT-SoVITS / F5-TTS / CosyVoice (MIT/Apache) | Clone your own voice once, reuse forever, monetize legally. (Avoid XTTS-v2 + Fish Speech.) |
| 📝 Free transcription + karaoke timestamps | WhisperX (self-host) or Groq Whisper (hosted) | WhisperX = word-level alignment + diarization for lyric/subtitle timing. |
| 🇮🇳 Best free Hindi/Hinglish STT | Azure continuous LID [hi-IN,en-IN] or Deepgram Nova-3 multi |
The two options that actually document Hindi code-switching. |
| ♾️ Unlimited + offline (Mac) | whisper.cpp / MLX-Whisper / faster-whisper + Kokoro / Piper TTS | MIT, on-device on Apple Silicon, no quota, private. |
One-liner: Song → ACE-Step (or Firefly for an instrumental bed). Voice → Azure F0 / Kokoro, clone your own voice with GPT-SoVITS. Captions & lyric timing → WhisperX. Hinglish → Azure LID or Deepgram Nova-3. All $0, all commercial-clean.
The licensing landmines
For a monetized channel, "free to use" almost never means "free to monetize." These are the traps that look free but are not commercially usable on their free/open terms:
| ⚠️ Looks free, isn't commercial | Why | What it blocks |
|---|---|---|
| Suno free/Basic plan | ✅ Suno owns the song; personal/non-commercial only; not retroactive when you upgrade | Monetized YouTube |
| Meta MusicGen / AudioGen / MAGNeT | ✅ weights are CC-BY-NC 4.0 | Any commercial output |
| Coqui XTTS-v2 | ✅ CPML is a non-commercial model license | Monetized narration/cloning |
| Fish Speech / OpenAudio | ✅ research license — "commercial use requires a separate license" | Monetized narration/cloning |
| ElevenLabs free tier & Scribe free | ✅ commercial license only from Starter ($5/mo) | Monetized VO + transcripts |
| Soundful free/Standard, Loudly free | ✅ commercial rights are paid-plan only | Monetized music |
| NVIDIA Parakeet / Canary (STT) | License is fine (CC-BY-4.0) but no Hindi | Hindi/Hinglish work |
Green-light — free and commercial: ACE-Step (Apache-2.0), YuE (Apache-2.0), Stable Audio Open / Open Small (under $1M revenue), Adobe Firefly Generate Soundtrack, Azure Speech F0, Google Cloud TTS, Kokoro / Piper / F5-TTS / GPT-SoVITS / CosyVoice (MIT/Apache), and the whole Whisper family (MIT) + AI4Bharat IndicConformer (MIT).
1. Music generation
1.1 Open weights — self-host = truly free + commercial
The cleanest commercial path. Run them on a free Colab T4, Kaggle, HF ZeroGPU, or a beefy local GPU (see §4).
| Model | License | Vocals? | Max length | VRAM | Free GPU? |
|---|---|---|---|---|---|
| ACE-Step v1 (3.5B) 🥇 | Apache-2.0 ✅ | Yes | ~4 min coherent | ~8 GB with --cpu_offload |
✅ Colab T4 / Kaggle / HF Space |
| YuE | Apache-2.0 ✅ (attribution encouraged) | Yes, full songs | several min (30s segments) | 24 GB (≤2 sessions); 80 GB for full | ⚠️ marginal on T4; ZeroGPU/quantized UI |
| Stable Audio Open 1.0 | Stability Community ✅ (<$1M rev, register) | No realistic vocals | 47 s | 16–48 GB ideal | ⚠️ short runs on T4; ZeroGPU safer |
| Stable Audio Open Small | Stability Community ✅ (<$1M rev) | No vocals | 11 s | low | ✅ T4 / ZeroGPU |
| Meta MusicGen / MAGNeT | ⚠️ CC-BY-NC 4.0 | No vocals | 10–30 s | small models fit T4 | ✅ but non-commercial |
Pick: ACE-Step is the standout — Apache-2.0, generates a full song with vocals from lyrics + a style prompt, duration control, lyric editing/remix, and a memory-optimized path down to ~8 GB. Ready-made free Space:
huggingface.co/spaces/ACE-Step/ACE-Step. Use your own lyrics, keep the project files, and run a similarity check before publishing.
1.2 Hosted apps with free tiers
| App | Free allowance | Vocals? | Commercial on free? | Notes |
|---|---|---|---|---|
| Adobe Firefly — Generate Soundtrack 🥇 | 2 lifetime free premium uses ✅ | No (instrumental) | ✅ Yes — royalty-free, YouTube/TikTok OK | 5 s–5 min, WAV export, Content Credentials attached. Cleanest hosted $0 commercial path, but only 2 generations. |
| Suno | free/Basic exists | Yes | ❌ No — Suno owns; non-commercial | Make the song on a paid plan if you want to monetize it. |
| Soundful | Standard/free | Mostly instrumental | ❌ No | Standard tracks explicitly not for commercial use. |
| Loudly | free tier | Yes | ❌ No (paid-only rights) | License grants monetization under paid plans. |
| Stable Audio (hosted) | free plan, monthly | Instrumental/SFX | ⚠️ unverified for free | Use Stable Audio Open self-host for clear rights. |
| Mubert / SOUNDRAW / Beatoven | varies | Instrumental/loops | ⚠️ unverified for free | SOUNDRAW's "All Plans" license is promising but its free-plan schedule wasn't exposed; verify in-app at download. |
| Google MusicFX | free experimental | n/a | ⚠️ unclear | No published commercial-output license; not recommended for monetized music. |
1.3 Chinese music apps — caveat
Mureka (Kunlun SkyMusic), Tiangong SkyMusic, Haimian Music (ByteDance), Tencent Lingyin/TME, NetEase Tianyin, ACE Studio. Marketing often claims "full commercial rights," but the free-plan ToS were JS/PDF/login-gated and could not be verified this pass, and several need a +86 phone number. For a monetizing creator, prefer the open ACE-Step model — its Apache-2.0 license is unambiguous, versus trusting an in-app license you can only read at generation time.
Verdict (music): ① ACE-Step (open, Apache-2.0, vocals, free GPU) → ② YuE if you need richer vocal songs and can find a 24 GB+ free GPU → ③ Adobe Firefly Generate Soundtrack for a quick commercial-safe instrumental bed. Avoid for monetized YouTube: Suno free, Soundful/Loudly free, MusicGen.
2. Text-to-speech and voice cloning
2.1 Hosted free tiers
| Engine | Free quota | Hindi/Hinglish | Commercial on free? | Notes |
|---|---|---|---|---|
| Azure Speech F0 🥇 | 0.5M chars/mo neural ✅, perpetual | Excellent (hi-IN Swara/Madhur, en-IN) |
✅ Yes, no watermark | Best $0 narration; you already use it. |
| Google Cloud TTS | 1M chars/mo ✅ (Standard/WaveNet/Neural2) | Strong hi-IN |
✅ Yes, no attribution | Highest perpetual free quota. |
| Amazon Polly | 1M neural chars/mo, first 12 mo only | Good | ✅ Yes (then expires) | Free-tier clock runs out after a year. |
| ElevenLabs | 10k chars/mo | Excellent | ❌ No (+ attribution) | Commercial unlocks at Starter $5/mo. |
| PlayHT / Murf / Speechify | trial / very limited | Good | ❌ No | Free tiers prohibit commercial use. |
| Deepgram Aura / Cartesia / Resemble | sign-up credit | English-led | ✅ until credit ends | No perpetual commercial free tier. |
2.2 Open weights — free + commercial
Run on a free Colab T4, HF ZeroGPU, or locally on an Apple Silicon Mac (many run on CPU).
| Model | License | Cloning? | Hindi/multiling | Runs on |
|---|---|---|---|---|
| Kokoro-82M 🥇 | Apache-2.0 ✅ | No (uses voice embeddings) | Hindi added in v1.0 | CPU + any GPU; tiny |
| Piper | MIT ✅ | No (fine-tune) | native Hindi voices | CPU-optimized, edge |
| F5-TTS 🥇 | MIT ✅ | Yes (15s zero-shot) | cross-lingual | Mac / Colab T4 |
| GPT-SoVITS 🥇 | MIT ✅ | Yes (1-min few-shot, best) | cross-lingual (EN→Hindi) | Apple Silicon / T4 |
| CosyVoice / CosyVoice2 (Alibaba) | Apache-2.0 ✅ | Yes (3s zero-shot) | cross-lingual | CPU/GPU |
| MeloTTS | MIT ✅ | No | no Hindi (EN/ZH/ES/FR/KR/JP) | CPU fast |
| Suno Bark | MIT ✅ | audio-prompt only | multilingual | needs GPU |
| Coqui XTTS-v2 | ⚠️ CPML non-commercial | Yes (6s) | native Hindi | — don't monetize |
| Fish Speech | ⚠️ research license | Yes (10s) | yes | — don't monetize |
2.3 Hindi/Hinglish + cloning legality
- Best Hindi/Hinglish narration: hosted Azure F0 or Google Cloud TTS — they handle code-switched, transliterated text far better than most open models.
- Best $0 local: Kokoro (narration) and GPT-SoVITS (clone your own voice once, then unlimited Hindi/Hinglish output, MIT, monetizable).
- Cloning legality: open models won't stop you cloning anyone — but monetizing someone else's voice violates rights of publicity/likeness. Only clone your own voice (or one you have written permission for). YouTube also requires disclosure of realistic AI-generated content.
Verdict (voice): narration → Azure F0 / Google TTS (hosted) or Kokoro (local); cloning → GPT-SoVITS (best, MIT) or F5-TTS / CosyVoice for short-sample zero-shot. Avoid XTTS-v2 and Fish Speech for monetized work.
3. Transcription and subtitles
3.1 Open weights — self-host on free GPU/Mac
| Engine | License | Hindi/code-switch | Timestamps / diarization | Runs on |
|---|---|---|---|---|
| Whisper large-v3 / turbo | MIT ✅ | Hindi ✅; Hinglish ~OK | segment native | Colab/Kaggle; Mac |
| faster-whisper (CTranslate2) | MIT ✅ | = Whisper | word ✅ | CPU int8 on Mac; T4 (~2.9 GB) |
| WhisperX 🥇 | BSD-2 ✅ | = Whisper + Hindi wav2vec2 align | word ✅ + diarization ✅ | Mac CPU int8; T4 |
| whisper.cpp | MIT ✅ | = Whisper | word ✅ | Apple Silicon (Metal/CoreML) |
| MLX-Whisper | MIT ✅ | = Whisper | word ✅ | Apple Silicon (MLX) |
| AI4Bharat IndicConformer 600M | MIT ✅ | Hindi + 22 Indian langs (Devanagari) | CTC timestamps | GPU/CPU |
| NVIDIA Parakeet / Canary | CC-BY-4.0 ✅ | ⚠️ no Hindi (EN/European) | word ✅ | GPU (NeMo/CUDA) |
| distil-whisper | MIT | ⚠️ English-only | word ✅ | any |
Key finding: the models at the top of the English ASR leaderboard — NVIDIA Parakeet/Canary, IBM Granite, Cohere — do not support Hindi. For Hinglish, Whisper large-v3 (via faster-whisper/WhisperX) is the best free open engine.
3.2 Hosted free tiers / credits
| Service | Free | Hindi/code-switch | Diarization | Commercial? |
|---|---|---|---|---|
| Groq Whisper-v3/turbo | free tier, 25 MB file cap, fast | Hindi ✅ (Whisper) | no | ✅ |
| Deepgram Nova-3 🥇 | $200 credit, no card | hi + multi code-switch ✅ |
✅ | ✅ |
| AssemblyAI | $50 credit, no card | Universal-2 Hindi (10–25% WER) | ✅ (+$0.02/hr) | ✅ |
| Azure Speech F0 | ~5 audio-hr/mo ⚠️ | continuous LID [hi-IN,en-IN] ✅ |
✅ (batch) | ✅ |
| Google Cloud STT | $300/90d + ~60 min/mo ⚠️ | hi-IN + Indian langs |
✅ | ✅ |
| ElevenLabs Scribe | 10k credits/mo | 90+ langs | ✅ (≤32 spk) | ❌ free = non-commercial |
3.3 Hindi / Hinglish — the hard case
Casual Hindi-English code-switch is the toughest case (plain local Whisper struggles). Ranked free options:
- Azure continuous LID
[hi-IN,en-IN]— verified-good, per-segment language switching, ~5 free hrs/mo. (Your existing baseline.) - Deepgram Nova-3
multi— the only hosted free-credit option that explicitly documents Hindi plus code-switching ($200 credit). - Self-host Whisper large-v3 (faster-whisper/WhisperX) for unlimited free Hinglish; AI4Bharat IndicConformer or IIT-Madras whisper-hindi for clean Devanagari Hindi (these are weaker on English mixing).
3.4 Subtitles & karaoke timing
WhisperX is the best free tool: word-level forced alignment + speaker
diarization + subtitle export, on Colab or Mac. For Hindi songs, pair it with a
Hindi wav2vec2 alignment model. Mac-local alternatives with word timings:
faster-whisper (word_timestamps=True), MLX-Whisper, whisper.cpp.
Verdict (STT): general → self-host Whisper large-v3 (or Groq for zero setup); Hindi/Hinglish → Azure LID / Deepgram Nova-3; karaoke timing → WhisperX.
4. Free GPU to run it all
The open music/voice/STT models above are commercial-clean only if you self-host — and you can do that for $0:
- HF Spaces / ZeroGPU — using existing ZeroGPU Spaces (ACE-Step, MusicGen, Whisper demos) is free; authenticated free accounts get ~5 min GPU/day on a 48 GB Blackwell slice (PRO = 40 min). Great for one-off generations.
- Google Colab (free) — ~16 GB T4. Comfortable for ACE-Step (offload), Stable Audio Open Small, MusicGen-small, and faster-whisper/WhisperX large-v3.
- Kaggle Notebooks (free) — weekly GPU quota (T4×2 / P100); best for batch transcription or longer renders. Verify the current quota in your account.
- Mac-local (Apple Silicon) — fully offline, unlimited minutes, private: whisper.cpp / MLX-Whisper / faster-whisper (STT) and Kokoro / Piper (TTS) all run well on an M-series CPU/GPU.
For more on these venues (and serverless GPU like Modal), see the main Awesome Free Compute list.
5. The $0 creator pipeline
End-to-end for a music-video creator, every step commercial-clean and free:
- Song — ACE-Step (Apache-2.0) on a free GPU for a full track with vocals from your own lyrics; or Adobe Firefly Generate Soundtrack for a quick instrumental bed.
- Narration / VO — Azure Speech F0 Hindi/Indian-English voices (0.5M chars/mo), or Kokoro locally for unlimited.
- Your signature voice — clone your own voice once with GPT-SoVITS (MIT), then reuse it forever for hooks/VO.
- Lyric timing / karaoke captions — WhisperX word-level timestamps on the vocal stem.
- Hinglish transcription / subtitles — Azure continuous LID
[hi-IN,en-IN](your baseline) or Deepgram Nova-3multi($200 credit).
Total cost: $0. Total commercial exposure: none, as long as you stick to the green-light tools in the licensing landmines.
Sources
Primary sources fetched/verified June 2026 (representative):
- Music — open weights:
github.com/ace-step/ACE-Step+huggingface.co/ACE-Step/ACE-Step-v1-3.5B(Apache-2.0);github.com/multimodal-art-projection/YuE(Apache-2.0);huggingface.co/stabilityai/stable-audio-open-1.0+/stable-audio-open-small+stability.ai/license;huggingface.co/facebook/musicgen-small(CC-BY-NC). - Music — hosted:
adobe.com/products/firefly/features/ai-music-generator.html(2 lifetime, commercial);help.suno.com/en/articles/2746945+suno.com/terms(free = non-commercial);soundful.com/pricing+/license;loudly.com/license-agreement. - TTS — hosted:
azure.microsoft.com/pricing/details/speech(F0 0.5M chars/mo);cloud.google.com/text-to-speech/pricing(1M chars/mo);elevenlabs.io/pricing(free non-commercial);aws.amazon.com/polly/pricing. - TTS — open weights:
huggingface.co/hexgrad/Kokoro-82M(Apache-2.0);github.com/SWivid/F5-TTS(MIT);github.com/RVC-Boss/GPT-SoVITS(MIT);github.com/FunAudioLLM/CosyVoice(Apache-2.0);coqui/XTTS-v2(CPML, non-commercial);github.com/fishaudio/fish-speech(research license); Piper / MeloTTS / Bark (MIT). - STT — open weights:
github.com/openai/whisper(MIT);github.com/SYSTRAN/faster-whisper;github.com/m-bain/whisperX;github.com/ggml-org/whisper.cpp;huggingface.co/nvidia/parakeet-tdt-0.6b-v2+/canary-1b-flash(CC-BY-4.0, no Hindi);huggingface.co/ai4bharat/indic-conformer-600m-multilingual(MIT);huggingface.co/spaces/hf-audio/open_asr_leaderboard. - STT — hosted:
console.groq.com/docs/speech-to-text;deepgram.com/pricing+developers.deepgram.com(Nova-3multiHindi);assemblyai.com/pricing;learn.microsoft.com/azure/ai-services/speech-service/language-identification(continuous LID);cloud.google.com/speech-to-text/pricing;elevenlabs.io/pricing/api(Scribe). - Free GPU:
huggingface.co/docs/hub/spaces-zerogpu;research.google.com/colaboratory/faq.html;kaggle.com/docs/notebooks.
Quotas/licenses are point-in-time (June 2026) and change frequently — verify the free-plan terms at signup/download before relying on them, especially for commercial use. Corrections via PR welcome.
📝 Spotted a stale quota or a license that changed? This guide is open source — edit it on GitHub.