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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.
GDPR-compliant AI speech-to-text tool for fast multilingual transcription, subtitling, and translation.
AI transcription turning audio/video into searchable text, with speaker ID, AI summaries and a chat-with-your-transcript feature.
Free trial available
No public pricing
Free trial available
No public pricing
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
- ✦AI transcription supporting 90+ languages
- ✦Word-audio synced editing interface
- ✦Automatic subtitle generation with SRT/VTT export
- ✦Translation of transcripts
- ✦AI assistant for summaries, chapterization, and Q&A with timecodes
- ✦GDPR-compliant, confidential file handling
- ✦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
- →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
- →Journalists transcribing interviews quickly and accurately
- →Researchers processing qualitative interview recordings
- →Content creators generating subtitles for video
- →Language educators creating study materials from audio
- →Meeting and interview notes
- →Podcast transcripts
- →Lecture and academic transcription
- →Reviewing recorded calls