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Minimal web tool that transcribes uploaded audio files up to 10MB using OpenAI Whisper; a Pro tier is waitlisted.
Pay-per-hour speech-to-text API claiming top accuracy at lower cost than Deepgram, AssemblyAI, and other major transcription providers.
AI transcription platform that turns audio, video and YouTube links into text and subtitles, with speaker labels and 100+ languages.
AI transcription turning audio/video into searchable text, with speaker ID, AI summaries and a chat-with-your-transcript feature.
Fast AI transcription and subtitling platform with broadcast-format exports for media and production teams.
No public pricing
Free trial available
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
- ✦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)
- ✦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
- ✦Audio and video transcription
- ✦Full-text search across transcripts
- ✦AI summaries and chat over content
- ✦Speaker identification
- ✦Export to TXT, SRT, VTT
- ✦18-language support
- ✦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
- →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
- →Transcribing meetings and interviews
- →Repurposing podcasts and videos
- →Generating subtitles and accessible transcripts
- →Cleaning noisy audio before transcription
- →Meeting and interview notes
- →Podcast transcripts
- →Lecture and academic transcription
- →Reviewing recorded calls
- →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