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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.
Speech-to-text transcription for video and audio, aimed at students, journalists, and researchers needing fast written records.
Fast AI transcription and subtitling platform with broadcast-format exports for media and production teams.
Speech-to-text service for professionals needing fast, multilingual transcription of long-form audio and video with AI summaries.
Free trial available
No public pricing
Free trial available
Free trial available
- ✦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
- ✦Transcribes video/audio files in 98+ languages
- ✦Supports common formats like MP3, WAV, MP4, and M4A
- ✦Provides AI-generated summaries of transcribed content
- ✦Offers an online text editor for reviewing and correcting transcripts
- ✦Exports transcripts as TXT, DOCX, or SRT
- ✦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
- ✦Automated transcription claimed at 99.9% accuracy
- ✦Support for 98 languages
- ✦Uploads up to 5 hours per file
- ✦Speaker classification/diarization
- ✦AI-generated summaries of transcripts
- ✦Wide format support (MP3, MP4, WAV, MOV and more)
- ✦YouTube transcript generation
- →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
- →Journalists transcribing interviews for timely reporting
- →Students converting lecture recordings into study notes
- →Podcasters generating transcripts for accessibility
- →Researchers transcribing interviews for citation and analysis
- →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
- →Transcribing medical consultations or patient notes
- →Documenting legal proceedings and depositions
- →Turning long interviews or lectures into searchable text
- →Summarizing sales or business meetings
- →Generating transcripts from YouTube videos for content repurposing