Fourier Transcribe
₹18 an hour.²
Recorded calls, speaker labels included, charged once, when the transcript is done.
OpenAI speech-to-text alternative
One request in, a transcript out with a speaker on every line. Our voice speaks OpenAI’s speech API on the same key.
Why switch
Everything a phone call in India needs, from one team, priced in rupees.
₹18 an hour.²
Recorded calls, speaker labels included, charged once, when the transcript is done.
Hindi, English, Gujarati, Tamil and Telugu. And the Hinglish in between, mid-sentence.
The listening, the thinking and the voice are ours: Fourier STT, Gemma 4 26B and Fourier TTS.
Every transcript comes with speaker labels, and every word in its own script.
When you want the whole call, the same key and wallet run our voice agents.
AI agents from ₹1 a minute.¹
Real lines from Fourier TTS, one request each, unedited. Pick a language and press play.
Hear itCheap, everywhere, and being replaced
OpenAI's transcription API is cheap and everywhere: gpt-transcribe costs less than half a cent a minute, and most SDKs already speak it. But Whisper and the gpt-4o transcription models are being retired, the live model returns no speaker labels, and India is a storage region, not a processing one. We transcribe Indian phone calls at ₹18 an hour, with speaker labels included, on our own GPUs in India.
If you have ever sent audio to an API, there is a good chance it was Whisper. It is in every SDK and every tutorial, and it is cheap. OpenAI’s current model, gpt-transcribe, is cheaper still at less than half a cent a minute.
Two things have changed. OpenAI is retiring whisper-1 and the gpt-4o transcription models on February 26, 2027, including the only one that labels speakers. And the docs for gpt-transcribe print no list of supported languages, only that it takes language hints and that accuracy varies.
We do one thing: recorded phone calls in India. Fourier Transcribe is our own speech recognition. It goes over the audio several times and our own language model writes one clean transcript. Give it a line of context and the names that matter, and it uses them. The result says who spoke, with Hindi in Devanagari and English words in Latin script.
Real lines from Fourier TTS. Pick one, press play.
Text149 characters
Hi, मैं नेहा बोल रही हूँ Acme Store से। आपका order dispatch हो गया है और Friday तक deliver हो जाएगा। Address में कोई change करना हो तो अभी बता दीजिए।
48 kHz · MonoReady when you are
0:00 / 0:09
Fourier TTS, voice neha, rendered 16 Oct 2026. One request, not edited.
Text119 characters
नमस्ते, मैं श्रुति बोल रही हूँ, दाँतों के क्लिनिक से। कल सुबह डॉक्टर साहब से आपका मिलना तय है। क्या आप समय पर आ पाएँगे?
48 kHz · MonoReady when you are
0:00 / 0:08
Fourier TTS, voice shruti, rendered 16 Oct 2026. One request, not edited.
Text117 characters
નમસ્તે, હું આશુ બોલું છું. તમારી લોનનો હપ્તો આવતા અઠવાડિયે ભરવાનો છે. તમે કહો તો હું અત્યારે જ ભરવાની રીત સમજાવી દઉં.
48 kHz · MonoReady when you are
0:00 / 0:08
Fourier TTS, voice ashu, rendered 17 Oct 2026. One request, not edited.
Text167 characters
வணக்கம், நான் நேஹா பேசுகிறேன். உங்கள் பார்சல் நாளை மாலைக்குள் வந்து சேரும். அந்த நேரத்தில் நீங்கள் வீட்டில் இல்லையென்றால் சொல்லுங்கள், வேறு நாளுக்கு மாற்றி விடுகிறோம்.
48 kHz · MonoReady when you are
0:00 / 0:10
Fourier TTS, voice neha, rendered 17 Oct 2026. One request, not edited.
Text114 characters
నమస్కారం, నేను సమీర్ మాట్లాడుతున్నాను. నిన్న మీరు మా కొత్త ఇళ్ళ గురించి అడిగారు. ఇప్పుడు కొంచెం సేపు మాట్లాడవచ్చా?
48 kHz · MonoReady when you are
0:00 / 0:08
Fourier TTS, voice sameer, rendered 17 Oct 2026. One request, not edited.
Side by side
gpt-transcribe is $0.0045 a minute, which is $0.27 an hour, about ₹25.64 at the ECB rate. The deprecated gpt-4o-mini-transcribe is cheaper, about ₹17.09 an hour, until it goes. Live transcription on gpt-live-transcribe is about ₹96.86 an hour. None of those include speaker labels.
Ours is ₹18 an hour, 30 paise a minute, speaker labels included. A five-minute call costs ₹1.50. You pay once, when the job finishes, and a failed or degraded job is free.
Whisper’s list has 98 languages, and Hindi, Tamil, Telugu, Gujarati and Marathi are all on it. OpenAI’s own note says accuracy varies by language, and it publishes no number per language. For gpt-transcribe there is no list at all.
We publish ours. On the RinggAI Hindi benchmark, Fourier STT had the lowest error rate of five systems. That test is read speech, not phone calls, so send twenty of your own recordings and score them.
| Option | Bar | ₹ per hour of audio |
|---|---|---|
| ₹25.64$0.27 | ||
| ₹34.19$0.36 | ||
| ₹96.86$1.02 | ||
| ₹18 |
Dollar prices converted at ₹94.96, the ECB reference rate on 16 October 2026. The rate.
OpenAI prices by the minute, so an hour is 60 of them: $0.0045 × 60 = $0.27, $0.006 × 60 = $0.36 and $0.017 × 60 = $1.02. Speaker labels are inside our ₹18; on OpenAI they come only from a model that is being retired.
From developers.openai.com/api/docs/pricing, checked . Ours from our price list.
| Detail | OpenAI speech-to-text | Frequency |
|---|---|---|
| Transcription price | gpt-transcribe $0.0045 / minute the deprecated gpt-4o-transcribe $0.006 / minute and gpt-4o-mini-transcribe $0.003 / minute until February 26, 2027 developers.openai.com | ₹18 per hour of audio (₹0.30 a minute), charged once when the job completes speaker labels included |
| Live transcription price | gpt-live-transcribe $0.017 / minute and gpt-realtime-whisper $0.017 / minute, over a Realtime session developers.openai.com | Streaming recognition runs inside every voice agent as a standalone API it is in private preview, on request |
| Detail | OpenAI speech-to-text | Frequency |
|---|---|---|
| Indian languages | Whisper's own list has 98 languages, Hindi, Tamil, Telugu, Gujarati and Marathi among them, and OpenAI says accuracy varies by language the docs print no language list for gpt-transcribe, which takes ISO language hints developers.openai.com | Hindi, Gujarati, English, Tamil and Telugu, plus Hinglish Hindi in Devanagari, English in Latin script |
| Detail | OpenAI speech-to-text | Frequency |
|---|---|---|
| Where it runs | India (in.api.openai.com) is on the data residency list for storage, not processing, and requires MAM or ZDR approval residency endpoints carry a 10% uplift for newer models developers.openai.com | Every call and every request runs on our own GPUs in India |
| Detail | OpenAI speech-to-text | Frequency |
|---|---|---|
| How to switch | POST /v1/audio/transcriptions with the file, and stream=true for partial text as it processes developers.openai.com | POST /v2/transcriptions with the file, a line of context and the names to get right for speech, the same OpenAI POST /v1/audio/speech protocol with model mira-tts |
| Detail | OpenAI speech-to-text | Frequency |
|---|---|---|
| Whisper | whisper-1 is $0.006 a minute on its model page and deprecated, with removal from the API on February 26, 2027 OpenAI points to gpt-live-transcribe or gpt-transcribe instead developers.openai.com | One model, Fourier Transcribe, at ₹18 an hour |
| Speaker labels | Only on the deprecated gpt-4o-transcribe-diarize, until February 26, 2027 gpt-live-transcribe doesn’t return word-level timestamps, speaker labels, or transcription confidence scores developers.openai.com | Included on every transcript, with a speaker id per voice |
| File limits | Files can be up to 25 MB mp3, mp4, mpeg, mpga, m4a, wav and webm developers.openai.com | Recordings up to 2 hours files over 45 MB by https link |
Spot something out of date? Tell us. Six platforms in one table: Voice AI platforms compared.
Which to pick
Sometimes it's them. We'll say so.
Price per hour on gpt-transcribe, by a clear margin. A live transcription API you can use today. One account for the language model, the voice and the transcripts. Dozens of languages, if your audio is not Indian. If you only need rough English transcripts of meetings, stay.
Moving
One request in, a transcript with speakers out.
Step 1
Look around with no sign-up. When you are ready, create a key in Developers.
Step 2
One POST with the file, and a line of context about the call if you have it.
Step 3
The transcript comes back with a speaker on every line, each word in its own script.
Send the recording to POST /v2/transcriptions with a line of context and the names to get right. For files over 45 MB, send an https link instead. Then poll the job until it is done. The transcription guide has Python and Node.js examples.
Going the other way is even easier. Fourier TTS speaks OpenAI’s speech API. Change the base URL, the model and the voice, and the same code that called OpenAI now speaks Hindi, Gujarati, Tamil or Telugu on an Indian phone line. The setup guide shows the three lines.
curl -X POST https://sandbox.voice.miraiminds.co/v2/transcriptions \
-H "Authorization: Bearer $MIRAI_API_KEY" \
-H "Idempotency-Key: call-2026-10-02-0412" \
-F [email protected] \
-F context="A call to a university admissions desk about a course and its fees" \
-F vocabulary="Mira University, BBA, Aadhaar" Questions
gpt-transcribe is $0.0045 a minute, which comes to $0.27 an hour, about ₹25.64 at the ECB rate, with no speaker labels. Ours is ₹18 an hour, speaker labels included, so a five-minute call costs ₹1.50.
OpenAI's docs print no language list for it. Whisper's list in OpenAI's repository has Hindi, Tamil, Telugu, Gujarati and Marathi, with the note that accuracy varies by language. Whisper itself is removed from the API on February 26, 2027. Test your own recordings before you decide.
OpenAI retires whisper-1, gpt-4o-transcribe, gpt-4o-mini-transcribe and gpt-4o-transcribe-diarize on February 26, 2027, and points to gpt-transcribe or gpt-live-transcribe. If you have to move anyway, move the Indian calls to us and keep the rest wherever you like.
No. ₹1 a minute is a whole phone agent on our volume plan. Transcribing a recording costs ₹18 an hour of audio, which is 30 paise a minute.
Fifteen minutes with the team that builds it. Bring your script, or your hardest call.
Book 15 minutes