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Kapture V2

You can use our Speech to Text (ASR) API to detect speech and convert it into text. Kapture V2 supports 10 languages from all over India. Same API as Kapture V1, with a smaller language set. This allows for great transcription services, voice commands, real-time subtitles, and voice-enabled applications, promising high accuracy with support for various accents, dialects, and audio formats.

Overview

Our ASR (Automatic Speech Recognition) API converts spoken language into written text with high accuracy and low latency. Our models are trained on diverse datasets covering multiple languages, accents, and speaking styles across India to ensure reliable transcription service across various use cases.

  • Real-time speech transcription for live applications
  • Batch processing for audio file transcription

Try a sample transcription:

Sample Audio
Hindi Female Voice
00:08Clear Audio
Transcription:
"नमस्ते, मेरा नाम श्रुति है। बताइए, मैं आपकी किस तरह मदद कर सकती हूँ।"

Explore our voice library to find the perfect voice for your project.

Developer quickstart

Learn how to integrate text to speech into your applications

API Usage

Use our models to convert speech to text using REST API endpoint with simple requests for single and batch transcribing.

Transcribe Audio File - Basic Request

You can transcribe a single audio using the endpoint which returns the transcript immediately after processing.

curl
curl -X POST https://api.fonada.ai/v2/asr/transcribe -H "Authorization: Bearer YOUR_API_KEY" -F "file=@audio.wav" -F "language_id=hi"

Request Parameters

ParameterTypeRequiredDescription
filefile✓Audio: wav, mp3, flac, m4a, ogg, opus, aac. Any length. Max 500MB.
language_idstring✓Language code (e.g. , "hi" for Hindi, "en" for English).

Response Format

{
  "job_id": "3d02014b-6ddf-45e3-94bc-8e6f69da6834",
  "text": "Sir नहीं ऐसा कुछ होता तो मैं बताता है ऐसा कुछ नहीं है sir.",
  "language": "hi",
  "audio_duration_s": 3.12,
  "num_chunks": 1,
  "chunk_durations_s": [3.12],
  "chunk_texts": ["Sir नहीं ऐसा कुछ होता तो मैं बताता है ऐसा कुछ नहीं है sir."],
  "transcript_chunks": [
    {
      "idx": 0,
      "text": "Sir नहीं ऐसा कुछ होता तो मैं बताता है ऐसा कुछ नहीं है sir.",
      "duration_s": 3.12,
      "start_s": 0.0,
      "end_s": 3.12
    }
  ],
  "bucket": null,
  "storage_prefix": null,
  "processing_time_ms": 1731.9,
  "credits_used": 9
}

Fonadalabs SDK

You can get richer ASR experiences with our official SDK. Install it once and tap into high-level modules for streaming, batch, and custom transcription workflows.

Install the SDK

pip
pip install fonadalabs

Transcribe a Single File

You can use high-level HTTP client to submit local recordings. The SDK falls back to values from .env, so you can keep credentials out of source control while overriding settings at runtime.

Python
from fonadalabs import ASRClient AUDIO_PATH = "your_audio_path" LANG = "hi" your_api = "your_api_key" if __name__ == "__main__": client = ASRClient(api_key=your_api) try: result = client.transcribe_file( AUDIO_PATH, language_id=LANG, model="v2", ) print("Transcription Complete") print("----------------------------") print(f"Language : {result.language_id}") print(f"Text : {result.text}") print(f"Duration : {result.audio_duration_s}s") print(f"Chunks : {result.num_chunks}") print(f"Credits : {result.credits_used}") print("----------------------------") except Exception as e: print(f"Error: {e}") finally: client.close()

Supported Formats

Audio: wav, mp3, flac, m4a, ogg, opus, aac. Any length. Max 500MB.

MP3

Sample rates: 8kHz - 48kHz

Channels: Mono/Stereo

Bit rate: 16bit/24bit

WAV

Sample rates: 8kHz - 48kHz

Channels: Mono/Stereo

Bit rate: 16bit/24bit

FLAC

Sample rates: 8kHz - 48kHz

Channels: Mono/Stereo

Bit rate: 16bit/24bit

M4A

Sample rates: 8kHz - 48kHz

Channels: Mono/Stereo

Bit rate: 16bit/24bit

OGG

Sample rates: 8kHz - 48kHz

Channels: Mono / Stereo

Bit rate: 16bit/24bit

OPUS

Any length. Max 500MB.

AAC

Any length. Max 500MB.

Supported Languages

Kapture V2 supports 10 languages with optimized accuracy for regional accents and dialects. This is the only difference from Kapture V1.

LanguageCodeNative Name
EnglishenEnglish
Bengalibnবাংলা
Gujaratiguગુજરાતી
Hindihiहिन्दी
Kannadaknಕನ್ನಡ
Malayalammlമലയാളം
Marathimrमराठी
Punjabipaਪੰਜਾਬੀ
Tamiltaதமிழ்
Teluguteతెలుగు

Best Practices

Follow these recommendations to achieve optimal transcription accuracy and performance.

Audio Quality

  • • Use high-quality microphones and recording equipment
  • • Record in quiet environments with minimal background noise
  • • Maintain consistent distance from the microphone
  • • Use 16kHz+ sample rate for better accuracy

Speaking Guidelines

  • • Speak clearly and at a moderate pace
  • • Avoid speaking too fast or too slow
  • • Use natural pauses between sentences
  • • Minimize overlapping speech in multi-speaker scenarios

Error Handling

  • • Implement retry logic for network failures
  • • Handle partial results in streaming scenarios
  • • Monitor API rate limits and usage quotas
Back to Kapture V1