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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.
Chinese AI audio/video toolkit offering transcription, subtitle generation, translation, TTS, and watermark removal.
Free-to-start converter for turning uploaded files or YouTube videos into transcripts with AI summaries in 98+ languages.
No public pricing
Free trial available
No public pricing
No public pricing
- ✦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
- ✦AI speech-to-text transcription with summarization
- ✦Video translation and dubbing across many languages
- ✦Multilingual subtitle generation and styling
- ✦Text-to-speech with cloned and regional voice options
- ✦AI watermark, logo, and subtitle removal from video
- ✦AI video generation from text prompts
- ✦Automatic video clip/highlight extraction
- ✦Vocal/instrumental separation from audio
- ✦Audio/video/YouTube transcription
- ✦AI-generated summaries and highlights
- ✦Support for 98+ languages and formats
- ✦Credit-based free tier
- ✦API access
- ✦45-day media file retention
- →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
- →Content creators localizing videos for international audiences
- →Users needing quick meeting or lecture transcriptions
- →Creators generating narrated videos from text scripts
- →Developers integrating audio/video AI processing via API
- →Students and researchers converting lecture recordings to text
- →Creators repurposing YouTube video content into text form
- →Professionals needing quick AI summaries of long recordings