Convert speech to text at scale with Whisper and modern ASR. We build real-time transcription APIs, multilingual voice recognition, speaker diarization, and complete voice AI pipelines, deployed on your infrastructure or cloud. Support for Hindi, Tamil, and 99+ languages.
Proof-First Delivery
What We Offer
Each module is designed as a production block with integration boundaries, governance hooks, and measurable outcomes.
Production-grade transcription APIs powered by Whisper. File upload transcription, streaming audio processing, batch processing, and webhook-based async pipelines. REST and WebSocket interfaces with automatic language detection.
Live speech-to-text with under 2 second latency using Faster Whisper and WhisperX. Voice activity detection, silence removal, and streaming output for live meetings, calls, and broadcasts.
Who said what. Speaker identification and segmentation using pyannote-audio combined with Whisper. Meeting transcripts, call center analytics, and interview processing with per-speaker attribution.
Speech recognition for Hindi, Tamil, Telugu, Kannada, Malayalam, Bengali, and more. Custom fine-tuning on your domain audio data to improve accuracy for accents, technical vocabulary, and code-switching.
Self-hosted Whisper on your GPU servers — NVIDIA T4, A10, A100, or consumer GPUs. Docker deployment, load balancing, auto-scaling, and monitoring. Zero audio data leaves your infrastructure.
End-to-end voice pipelines: STT (Whisper) + NLU (Claude/GPT) + TTS (ElevenLabs/XTTS). Build voice assistants, IVR systems, and conversational AI that listens, understands, and speaks.
Delivery Proof
Selected engagements that show architecture depth, execution quality, and measurable business impact.
Delivery Advantages
Production-grade transcription APIs powered by Whisper. File upload transcription, streaming audio processing, batch processing, and webhook-based async pipelines. REST and WebSocket interfaces with automatic language detection.
Live speech-to-text with under 2 second latency using Faster Whisper and WhisperX. Voice activity detection, silence removal, and streaming output for live meetings, calls, and broadcasts.
Who said what. Speaker identification and segmentation using pyannote-audio combined with Whisper. Meeting transcripts, call center analytics, and interview processing with per-speaker attribution.
Speech recognition for Hindi, Tamil, Telugu, Kannada, Malayalam, Bengali, and more. Custom fine-tuning on your domain audio data to improve accuracy for accents, technical vocabulary, and code-switching.
FAQ
Tell us about your audio data and accuracy requirements — we'll design a Whisper-powered transcription pipeline optimized for your languages, domain, and deployment environment.