Audio Transcriber — Podcasts, Calls & Meetings to Text
Pricing
from $21.00 / 1,000 minute transcribeds
Audio Transcriber — Podcasts, Calls & Meetings to Text
Turn recordings into text: podcasts, interviews, calls, meetings and voice notes in 90+ languages, with timecodes on every passage. A three-hour file is one input and one row of output. Speaker labels, translation to English, SRT or WebVTT subtitles and RAG chunks. No API key.
Pricing
from $21.00 / 1,000 minute transcribeds
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Developer
Matvey
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Audio Transcriber turns recordings into readable text: podcasts, interviews, sales calls, meetings, lectures, voice notes and webinars. Every passage keeps the moment it was spoken, so you can jump from a line of text back to the second it came from. 90+ languages, files of any length, and nothing to set up — no key, no model choice, no converting files first.
What it is for
Editorial work (a transcript to quote from), meeting and call notes, compliance archives, subtitles, podcast show notes, search over a back catalogue of recordings, and AI agents that need the spoken word as text before they can reason about it.
| What you give it | What you get back |
|---|---|
| A podcast or interview link | Transcript with timed passages |
| A recorded call or meeting | The same, optionally labelled by speaker |
| A video file | The audio is pulled out; the picture is discarded |
| A three-hour recording | One transcript, timings continuous across parts |
| A recording in any language | Text in that language, or translated to English |
chunkForRag: true | Chunks with timecodes, ready to embed |
Formats: MP3, M4A, WAV, FLAC, OGG, MP4, MOV, WEBM — anything with sound, from a public URL or an upload.
What data does it return?
| Field | Example |
|---|---|
source, fileName | https://example.com/episode-12.mp3 · episode-12.mp3 |
durationSeconds, durationMinutes | 461.05 · 7.68 |
language, model, translatedToEnglish | English · fast · false |
transcript, wordCount, charCount | the full text · 1665 · 9218 |
segments | [{"start": 0, "duration": 4.56, "text": "…", "speaker": "Speaker 1"}] |
speakerCount, speakers | 3 · ["Speaker 1", "Speaker 2", "Speaker 3"] |
chunks | [{"index": 0, "startTimecode": "00:00:00", "text": "…"}] |
subtitles | a complete SRT or WebVTT file |
status, errorCode, errorMessage | ok, or why a file failed |
How much does it cost?
| Event | Price | When it is charged |
|---|---|---|
| Minute transcribed | $0.03 | Per started minute, using the built-in key |
| Minute with your own key | $0.012 | Per started minute when you supply a Groq key |
| Add-on: Speaker labels | $0.012 | Per started minute, only when speaker labels are on |
| File processed | $0.002 | Per file downloaded and prepared |
A failed file comes back as an error row and is never charged. Larger monthly plans get 10–30 % off.
Notes
Recognition runs on Whisper large v3 with a built-in key, so there is nothing to sign up for. Choose fast for English-only work several times quicker, or accurate for everything else. A vocabulary hint helps with names and jargon.
