Accurate speech recognition in 13+ languages with 7+ provider options. Real-time streaming and batch transcription. Deepgram, Google Chirp, Azure, ElevenLabs, AssemblyAI, OpenAI Whisper - choose based on accuracy, language, and cost.
Integrates with the tools you already use
STT Providers
Single unified API
Accuracy
English with Deepgram
Latency
Real-time streaming
Per Minute
Starting price
From audio to text in milliseconds
Audio input via API or stream
AI models transcribe speech
Punctuation, timestamps, speakers
JSON response with confidence
Enterprise-grade speech recognition
WebSocket API for live transcription
REST API for file uploads
Including 10 Indian languages
Precise timing for each word
Identify who said what
Auto formatting & capitalization
Boost domain-specific terms
Python, Node.js, Go libraries
Choose the right STT provider for your use case
| Feature | Deepgram | Google Chirp | Azure | ElevenLabs | Whisper |
|---|---|---|---|---|---|
| English Accuracy | 95% | 92% | 91% | 90% | 88% |
| Hindi Accuracy | 75% | 88% | 82% | 85% | 80% |
| Streaming Latency | <100ms | 200ms | 150ms | 250ms | N/A |
| Price/min | $0.0042 | $0.016 | $0.012 | $0.0067 | $0.006 |
| Speaker Diarization | Yes | Yes | Yes | No | No |
Transform audio into actionable text
Voice Assistants
Conversational AI bots
Live Captioning
Accessibility compliance
Call Analytics
Real-time transcription
Voice Commands
Hands-free interfaces
Meeting Notes
Auto-transcribe recordings
Podcast Transcripts
SEO-friendly content
Call Recording Analysis
QA & compliance
Video Subtitles
Automated captions
Get started in minutes with our unified API
// Real-time streaming example (Node.js)
const ws = new WebSocket('wss://api.edesy.in/v1/stt/stream');
ws.on('open', () => {
ws.send(JSON.stringify({
provider: 'deepgram', // or 'google', 'azure', 'elevenlabs'
language: 'hi-IN', // Hindi
sample_rate: 16000
}));
});
ws.on('message', (data) => {
const result = JSON.parse(data);
console.log('Transcript:', result.transcript);
console.log('Confidence:', result.confidence);
});
// Send audio chunks
audioStream.on('data', (chunk) => {
ws.send(chunk);
});From signup to production
Sign up and get your API key instantly
Select based on language & accuracy needs
Use our SDK or REST/WebSocket APIs
Pay per use, scale automatically
Pay per minute of audio. No minimum commitment.
Everything about Speech-to-Text API
A speech-to-text (STT) API converts spoken audio into written text. It's used for transcription, voice commands, call center analytics, subtitles, meeting notes, and voice search. Our API provides access to multiple STT providers through a single unified interface.
We support 7+ STT providers: Deepgram (best accuracy for English, lowest latency), Google Chirp (multilingual excellence), Azure Speech (enterprise-grade), ElevenLabs Scribe (Indian languages), AssemblyAI (real-time features), OpenAI Whisper (cost-effective), and Sarvam AI (Hindi specialist). Choose based on language, accuracy, and cost requirements.
We support 10 Indian languages: Hindi (हिन्दी), Bengali (বাংলা), Tamil (தமிழ்), Telugu (తెలుగు), Marathi (मराठी), Gujarati (ગુજરાતી), Kannada (ಕನ್ನಡ), Malayalam (മലയാളം), Punjabi (ਪੰਜਾਬੀ), and Assamese (অসমীয়া). ElevenLabs Scribe and Google Chirp provide the best accuracy for Indian languages.
Real-time (streaming) transcription processes audio as it's spoken, ideal for live calls and voice assistants. Batch transcription processes pre-recorded files, ideal for meeting recordings and podcasts. Real-time uses WebSocket connections; batch uses REST API file uploads.
Accuracy varies by provider and language. For English, Deepgram achieves 90-95% word accuracy. For Hindi, Google Chirp achieves 85-90% accuracy. Accuracy improves with custom vocabulary training and domain-specific models. We provide Word Error Rate (WER) metrics for each provider.
Latency varies by provider: Deepgram achieves <100ms streaming latency, Google Chirp ~200ms, Azure ~150ms. For voice assistants requiring ultra-low latency, we recommend Deepgram or using Gemini Live for native audio processing.
Pricing is per minute of audio: Deepgram from $0.0042/min, Google Chirp $0.016/min, Azure $0.012/min, ElevenLabs Scribe $0.0067/min, OpenAI Whisper $0.006/min. We offer volume discounts and bundled packages. Use our pricing calculator for estimates.
Yes, several providers support speaker diarization (identifying who said what). Deepgram, AssemblyAI, and Google Chirp provide automatic speaker identification. This is essential for meeting transcription and call center analytics.
Yes, most providers support custom vocabulary and domain-specific models. You can boost recognition of industry jargon, product names, and company-specific terms. Azure and Deepgram offer the most advanced customization options.
We support all common audio formats: WAV, MP3, FLAC, OGG, WebM, M4A, and raw PCM. For real-time streaming, we accept 16-bit PCM at 8kHz (telephony) or 16kHz (wideband). Sample rate conversion is handled automatically.
Every business is unique. Let's discuss your specific needs and create a pricing plan that works for you.
Custom pricing based on your needs
No hidden fees or surprises
Flexible payment options
Volume discounts available
Free consultation & demo
30-day money-back guarantee
Our team will get back to you within 24 hours with a personalized pricing proposal
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