Product Introduction
- Overview: AI-powered browser-based speech recognition service converting audio files (MP3/M4A/WAV) to text transcripts and SRT subtitles.
- Value: Eliminates manual transcription by delivering accurate, punctuated text outputs in seconds with zero software installation.
Main Features
- Browser-Based Processing: Runs entirely client-side using WebAssembly and Web Audio API for secure, installation-free transcription compatible with Chrome, Edge, and Safari.
- Dual Export Formats: Generates both raw TXT transcripts for notes and industry-standard SRT files for video subtitles/captions in YouTube and VLC.
- AI-Punctuation Engine: Automatically segments audio into paragraphs and adds punctuation using transformer-based NLP models for human-readable outputs.
Problems Solved
- Challenge: Time-consuming manual transcription of lectures, interviews, and podcasts requiring repeated audio playback.
- Audience: Researchers, journalists, podcasters, students, and video creators needing accurate text records.
- Scenario: Converting recorded client meetings to searchable text archives or generating subtitles for podcast videos to boost SEO and accessibility.
Unique Advantages
- Vs Competitors: Superior browser execution eliminates desktop software dependencies while maintaining enterprise-grade Whisper-like accuracy.
- Innovation: Hybrid on-device/cloud processing architecture balances speed (sub-30s for 5min audio) with privacy compliance (GDPR-ready data handling).
Frequently Asked Questions (FAQ)
- What's the maximum file length for free transcription? Guests get 5 minutes free; registered users transcribe up to 30 minutes per file without payment.
- Which languages does the speech recognition support? Optimized for English with near-human accuracy, plus 20+ languages including Spanish, French, and German.
- How are long audio files processed? Advanced voice activity detection (VAD) splits audio into segments for parallel processing, maintaining sync for SRT timestamping.