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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.
Speech-to-text service for professionals needing fast, multilingual transcription of long-form audio and video with AI summaries.
Fast AI transcription tool for uploaded audio/video and social links (YouTube, TikTok, WhatsApp) with multi-language support.
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
- ✦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
- ✦Transcription from uploaded files or pasted links
- ✦WhatsApp and Telegram voice message support via bot
- ✦Support for 90+ languages
- ✦Coverage of YouTube, TikTok, Instagram, and other platforms
- ✦Free tier with limited monthly minutes
- →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
- →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
- →Users forwarding voice notes for quick text conversion
- →Content creators transcribing social video links
- →Students and professionals converting recordings to text