Deepgram alternative

Our transcripts know who spoke.

Send a recording of an Indian phone call. It comes back with speaker labels, Hindi in Devanagari and English in Latin script.

Deepgram’s numbers checked 17 October 2026.

Compare
The Frequency console: Agent Studio with four agents in Hinglish, Hindi, Tamil and Gujarati, and a test call in the browser.

Why switch

Why people switch to Frequency.

Everything a phone call in India needs, from one team, priced in rupees.

Fourier Transcribe

₹18 an hour.²

Recorded calls, speaker labels included, charged once, when the transcript is done.

Five languages, live.

Hindi, English, Gujarati, Tamil and Telugu. And the Hinglish in between, mid-sentence.

Every call runs on our own GPUs in India.

The listening, the thinking and the voice are ours: Fourier STT, Gemma 4 26B and Fourier TTS.

Who said what.

Every transcript comes with speaker labels, and every word in its own script.

Phone agents, on the same key.

When you want the whole call, the same key and wallet run our voice agents.

AI agents from ₹1 a minute.¹

Hear it before you decide.

Real lines from Fourier TTS, one request each, unedited. Pick a language and press play.

Hear it

Built from the other end

Here is how Deepgram and Frequency differ.

Deepgram is a speech-to-text company first, with a public streaming API, 45+ languages and $200 of free credit. We're narrower: phone calls in India. We turn a recording into a transcript that knows who's speaking and keeps Hindi in Devanagari and English in Latin script, for ₹18 an hour. And our voice speaks Hindi, which Deepgram's Aura voices don't list.

Deepgram started with speech to text and grew outward. Its Nova models cover 45+ languages, most big Indian ones among them, with a multilingual mode for audio that switches language. Flux adds turn detection for voice agents. Every price is published, and the streaming API takes up to 150 streams at once on pay as you go.

We started with the Indian phone call and worked back. Fourier STT is our own speech recognition. It listens on every call our agents make, and it runs on our GPUs in India. For recordings, Fourier Transcribe goes over each one several times and has our own language model write one clean transcript. Give it a line of context and the names that matter, and it uses them. A draft is readable within seconds, and the final version says who spoke, and when.

Hear it.

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

voice
Neha
language
Hinglish
speech
0:09
characters
149

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

voice
Shruti
language
Hindi
speech
0:08
characters
119

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

voice
Ashu
language
Gujarati
speech
0:08
characters
117

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

voice
Neha
language
Tamil
speech
0:10
characters
167

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

voice
Sameer
language
Telugu
speech
0:08
characters
114

Fourier TTS, voice sameer, rendered 17 Oct 2026. One request, not edited.

Side by side

Here is Deepgram beside Frequency.

Every price in rupees³, from their own pages and ours.⁴

Price

What an hour costs

Deepgram’s pre-recorded Nova-3 is ₹24.50 an hour, or ₹29.63 for multilingual audio. Speaker labels are included.

Ours is ₹18 an hour, which is 30 paise a minute, with speaker labels included too. A five-minute call costs ₹1.50. We charge once, when the job finishes, and a job that fails or comes back degraded is free.

Recorded calls, ₹ per hour of audio
Recorded calls, Deepgram and Frequency, in rupees per hour of audio
OptionBar₹ per hour of audio
Nova-3 Monolingual ₹24.50$0.258
Whisper Large ₹27.35$0.288
Nova-3 Multilingual ₹29.63$0.312
Fourier Transcribe recorded calls, speaker labels included ₹18
How we read these numbers

Dollar prices converted at ₹94.96, the ECB reference rate on 16 October 2026. The rate.

  • Nova-3 Monolingual: “$0.0043/min”, deepgram.com
  • Whisper Large: “$0.0048/min”, deepgram.com
  • Nova-3 Multilingual: “$0.0052/min”, deepgram.com
  • Fourier Transcribe: 18 rupees an hour of recorded audio, speaker labels included, from our price list.

Deepgram prices by the minute, so an hour is 60 of them: $0.0043 × 60 = $0.258. Speaker labels are included on both sides.

From deepgram.com/pricing, checked . Ours from our price list.

What speech costs, Deepgram and Frequency, in their words
DetailDeepgramFrequency
Pre-recorded price Nova-3 Monolingual $0.0043/min Nova-3 Multilingual $0.0052/min; Whisper Large $0.0048/min; speaker diarization included on pre-recorded audio deepgram.com ₹18 per hour of audio (₹0.30 a minute), charged to the millisecond when the job completes speaker labels included
Streaming price Nova-3 Monolingual $0.0048/min (limited-time regular $0.0077); Nova-3 Multilingual $0.0058/min (regular $0.0092); Flux Multilingual $0.0078/min; diarization $0.0020/min deepgram.com Streaming recognition runs inside every voice agent as a standalone API it is in private preview, on request

How it sounds

How the Hindi compares

On RinggAI’s public test of 10,000 Hindi recordings, Fourier STT had the lowest error rate of five systems, at 9.12%. The Deepgram output bundled with that dataset scored 15.79%. Two honest notes. Ringg chose that Deepgram version, and it may be older than what Deepgram serves today. And the recordings are read speech, not phone calls.

So test on your own audio. Send twenty recorded calls to both, and score them against transcripts a native speaker has corrected.

Hindi word error rateRinggAI · 10,000 Hindi recordings · lower is better
Hindi word error rate on RinggAI's public test, lower is better
OptionBarWord error rate
Fourier STT 9.12%
Ringg Parrot 9.72%
ElevenLabs 11.11%
Sarvam 12.83%
Deepgram 15.79%

Normalised word error rate. Ringg chose each vendor's version, and the recordings are read speech, not phone calls, so test on your own audio. The full report.

Languages and voices

Languages and voices, Deepgram and Frequency
DetailDeepgramFrequency
Indian languages Nova-3 lists Hindi, Bengali, Gujarati, Kannada, Marathi, Punjabi, Tamil and Telugu its multilingual mode covers Hindi with English and eight other languages developers.deepgram.com Hindi, Gujarati, English, Tamil and Telugu, plus Hinglish Hindi in Devanagari, English in Latin script
An Indian voice Aura's language list: English, Spanish, German, French, Dutch, Italian and Japanese Flux TTS voices speak English developers.deepgram.com Fourier TTS: Hindi, Gujarati, English, Tamil and Telugu, ₹1.80 per 1,000 characters

Where it runs

Where it runs, Deepgram and Frequency
DetailDeepgramFrequency
Where it runs An EU endpoint, and an India endpoint (api.in.deepgram.com) that Deepgram says is hosted in India Whisper is not on it developers.deepgram.com Every call and every request runs on our own GPUs in India

Try it free

Getting started, Deepgram and Frequency
DetailDeepgramFrequency
Try it free $200 free credit, then pay as you go no credit card required deepgram.com No sign-up to look around the sandbox ₹200 of credit once you confirm a work email

Spot something out of date? Tell us. Six platforms in one table: Voice AI platforms compared.

Which to pick

Which is right for you?

Sometimes it's them. We'll say so.

Choose Deepgram if…

  • You need a public streaming API today. Ours is still in private preview.
  • You transcribe many languages, or mostly English.
  • You want $200 of free credit and a published price for every model.
  • You need an EU endpoint as well as an Indian one.

Choose Frequency if…

  • Your recordings are phone calls in Hindi, Gujarati, Tamil, Telugu or English, often mixed.
  • You want each word in its own script: Hindi in Devanagari, English in Latin.
  • You also need an Indian voice, on the same key and wallet.
  • You'd like to grow into full phone agents on the same stack.

Where Deepgram is ahead

If you need to stream live audio through a public API today, Deepgram is ready and we aren’t. Ours is in private preview. Deepgram also covers far more languages, and offers EU and India endpoints.

Moving

Moving your code across is easy.

One request in, a transcript with speakers out.

  1. Step 1

    Open the sandbox.

    Look around with no sign-up. When you are ready, create a key in Developers.

  2. Step 2

    Send a recording.

    One POST with the file, and a line of context about the call if you have it.

  3. Step 3

    Read who said what.

    The transcript comes back with a speaker on every line, each word in its own script.

Open the sandbox

Switching

Upload a 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 check the job until it’s done. A call can run to two hours. The transcription guide has Python and Node.js examples, and the Hindi STT comparison lists what other Hindi recognisers cost.

Were you going to pair Deepgram with a voice and a model to build an agent? Ours come with all three, for ₹1 a minute on the volume plan.

POST /v2/transcriptions 
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

Here is what people ask before switching from Deepgram.

How does Fourier STT compare with Deepgram on Hindi?

On RinggAI's public test of 10,000 Hindi recordings, Fourier STT scored 9.12% word error rate and the Deepgram output in that dataset scored 15.79%. Ringg chose that Deepgram version, so today's Nova-3 may do better. The test is read speech, not phone calls.

Can I stream live audio to you?

Inside our voice agents, yes. A standalone streaming API is in private preview, so ask us for access. Recorded calls work through the public API today.

What does an hour of audio cost?

Deepgram's pre-recorded Nova-3 Monolingual rate is $0.0043 a minute, which comes to ₹24.50 ($0.258) an hour, speaker labels included. Ours is ₹18 an hour, speaker labels included too.

Is transcription ₹1 a minute?

No. ₹1 a minute is a whole phone agent on our volume plan. Transcribing a recording costs ₹18 an hour of audio.

Still deciding? Ask us.

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  1. AI agents from ₹1 a minute: on our volume plan, ₹1,00,000 a month. Pay as you go is ₹5 a minute. Prices exclude GST.

  2. Fourier Transcribe is ₹18 an hour of recorded audio, charged per second, once, when a job completes; degraded and failed jobs are free. All prices exclude GST.

  3. Dollar prices converted at ₹94.96, the ECB reference rate on 16 October 2026. The rate.

  4. Deepgram’s figures are from its own pages, linked beside each one and listed under Sources, checked . Ours are from our price list and docs.