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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.
Audio/video transcription tool offering multilingual transcription, translation, subtitles, and toxicity flagging in 130+ languages.
Speech-to-text transcription for video and audio, aimed at students, journalists, and researchers needing fast written records.
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)
- ✦Transcribes audio/video files or YouTube URLs in 130+ languages
- ✦Automatic detection of multiple languages within a single recording
- ✦Speaker-wise segmented transcripts for multi-person recordings
- ✦Translation of transcripts between supported languages
- ✦SRT/VTT subtitle generation and PDF export
- ✦Real-time toxicity/inappropriate-content detection
- ✦Custom plans with multi-user collaboration and white-label options
- ✦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
- →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
- →Podcasters or webinar hosts needing quick transcripts and subtitles
- →Businesses translating video content into multiple languages
- →Researchers transcribing multi-speaker interviews
- →Teams needing content moderation flags on recorded media
- →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