fonada/kapture-v3

Kapture v3

Kapture v3 is FonadaLabs' speech recognition model for ten Indian languages and English, built for real conversational audio: call-center recordings, voice notes and voice agents. It is offered as an API; the model weights are not distributed and this repository contains no model files.

• Docs: https://fonadalabs.ai/docs/speech-to-text/kapture-v3
• API key: https://fonadalabs.ai
• Languages: Hindi, Bengali, Gujarati, Kannada, Malayalam, Marathi, Odia, Punjabi, Tamil, Telugu, English
• Output: verbatim transcripts in each language's native script, with segment timestamps
• Audio length: no limit; long recordings are split and transcribed in parallel

Usage

curl -X POST https://api.fonada.ai/v3/asr/transcribe \
  -H "Authorization: Bearer $FONADA_API_KEY" \
  -F "file=@call.wav" \
  -F "language_id=hi"

import os, requests

with open("call.wav", "rb") as audio:
    r = requests.post(
        "https://api.fonada.ai/v3/asr/transcribe",
        headers={"Authorization": f"Bearer {os.environ['FONADA_API_KEY']}"},
        files={"file": audio},
        data={"language_id": "hi"},
    )
print(r.json()["text"])

Results

Self-reported, measured through the production API on 2026-10-22 with each benchmark's official scorer. Word error rate in %, lower is better.

Benchmark	Metric	Kapture v3
Voice Arena Monsoon hi-IN	OI-WER	6.21
Vaani Benchmark V1.0 (Hindi)	WER, 3 references	13.1
Vistaar, 8,055-clip sample, 10 languages	WER, Sarvam normalizer	17.43

Open ASR Leaderboard results will be added once the leaderboard maintainers have evaluated the API.

Median server processing time for a short clip is about 0.1 s.