Transcribe your audio backlog
for $0.10 an hour
Send a list of audio URLs. Get back transcripts with sentence and word timestamps, as SRT, VTT, plain text or JSON. Whisper large-v3-turbo on a network of independent GPUs, built for backlogs rather than live captions.
How it works
Price per audio hour
List prices for batch or pre-recorded audio, from each vendor's pricing page as of October 2026. We are not the lowest per hour: Groq lists the same model for less, one file per request. We are built for backlogs: one call for many URLs, long files split for you, webhooks, and 100 free hours. Full comparison.
| Service | Per audio hour |
|---|---|
| MyAi | $0.10 |
| Groq | $0.04 |
| AssemblyAI | $0.15–$0.21 |
| OpenAI gpt-4o-mini-transcribe | $0.18 |
| Rev.ai Reverb | $0.20 |
| Deepgram Nova-3 | $0.22–$0.26 |
| OpenAI gpt-4o-transcribe | $0.36 |
Get an API key
Credit
A batch holds its estimated cost when you submit it and is charged for the audio actually transcribed when it finishes; the rest of the hold is released. Your key stays in this browser tab only.
The API
curl https://api.myaitoken.io/v1/batches \
-H "Authorization: Bearer $MYAI_KEY" \
-H "Content-Type: application/json" \
-d '{
"job_type": "transcription",
"model": "whisper-large-v3-turbo",
"items": [
{"input_url": "https://example.com/episode-101.mp3",
"duration_s": 3540, "meta": {"language": "en"}}
]
}'# status (poll every 30 s, or pass "webhook_url" when you submit) curl https://api.myaitoken.io/v1/batches/$BATCH_ID -H "Authorization: Bearer $MYAI_KEY" # captions for item 0 curl "https://api.myaitoken.io/v1/batches/$BATCH_ID/results?format=srt&idx=0" \ -H "Authorization: Bearer $MYAI_KEY" -o episode-101.srt # JSON with sentence timestamps (add "word_timestamps": true to an item's meta for words) curl "https://api.myaitoken.io/v1/batches/$BATCH_ID/results" -H "Authorization: Bearer $MYAI_KEY"
duration_s is required: it sets how long files are split and what is held from your credit. Results include timestamps: segment when sentence timing is available.
Is it a fit for your audio?
Audio is processed on GPUs run by independent operators, not in our own data center. That is what makes the price possible, and it is a good fit for podcasts, lectures, archives, public recordings and dataset building. Please don't send confidential, medical, legal or otherwise regulated recordings yet. Speaker labels (diarization) are not available yet.