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Minimal web tool that transcribes uploaded audio files up to 10MB using OpenAI Whisper; a Pro tier is waitlisted.
AI transcription platform that turns audio, video and YouTube links into text and subtitles, with speaker labels and 100+ languages.
Pay-per-hour speech-to-text API claiming top accuracy at lower cost than Deepgram, AssemblyAI, and other major transcription providers.
Fast AI transcription and subtitling platform with broadcast-format exports for media and production teams.
No public pricing
No public pricing
Free trial available
Free trial available
- ✦Audio-to-text via OpenAI Whisper
- ✦Supports mp3, wav, m4a, ogg and flac
- ✦Drag-and-drop upload up to 10MB
- ✦Waitlisted Pro tier
- ✦Audio and video to text transcription
- ✦SRT subtitles and speaker labels
- ✦YouTube link transcription
- ✦Support for 100+ languages
- ✦Background noise removal
- ✦AI voice generator and text-to-speech
- ✦Pay-per-hour transcription pricing, no flat subscription
- ✦Benchmark accuracy comparisons against major competitors
- ✦Support for 8 languages with English translation
- ✦Speaker identification and time-coded SRT output
- ✦Two speed/accuracy tiers (standard and Lite)
- ✦Faster-than-realtime AI transcription in multiple languages
- ✦Subtitle editor with custom fonts, color, and timing
- ✦Export to Avid, Adobe Premiere, Resolve, SRT, VTT, and STL formats
- ✦Automatic translation of transcripts
- ✦Team sharing and collaborative editing
- ✦Burned-in subtitle video export
- →Transcribing recorded notes or memos
- →Converting short audio clips to text
- →Transcribing meetings and interviews
- →Repurposing podcasts and videos
- →Generating subtitles and accessible transcripts
- →Cleaning noisy audio before transcription
- →Teams running high-volume batch audio transcription on a budget
- →Developers wanting a lower-cost, benchmarked alternative to Deepgram/AssemblyAI/Azure
- →Workloads needing faster, lower-accuracy transcription via the Lite tier
- →Post-production teams logging hours of raw footage quickly
- →Broadcasters subtitling TV shows and movies for multiple markets
- →Researchers transcribing large volumes of interview recordings
- →Podcasters and content creators generating YouTube subtitles