Compare tools
Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
⇄ Comparison dimension — pick the market you're actually shopping in
AI transcription platform that turns audio, video and YouTube links into text and subtitles, with speaker labels and 100+ languages.
Free-to-start converter for turning uploaded files or YouTube videos into transcripts with AI summaries in 98+ languages.
Free, browser-based audio and video transcription tool for anyone wanting quick text conversion without signup.
Free-forward AI transcription and subtitling tool for audio, video, and podcasts in over 100 languages.
Pay-per-hour speech-to-text API claiming top accuracy at lower cost than Deepgram, AssemblyAI, and other major transcription providers.
No public pricing
Free trial available
- ✦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
- ✦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
- ✦Drag-and-drop audio/video upload
- ✦Automatic speech-to-text transcription
- ✦Supports multiple audio and video formats
- ✦No signup or software download needed
- ✦Multi-language interface
- ✦AI transcription of audio, video, and live speech
- ✦Translation into 100+ languages and dialects
- ✦Automatic subtitle file creation
- ✦AI-generated summaries of transcribed content
- ✦Speaker recognition and timestamps for podcasts
- ✦Cross-platform support including Mac, Windows, and mobile
- ✦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)
- →Transcribing meetings and interviews
- →Repurposing podcasts and videos
- →Generating subtitles and accessible transcripts
- →Cleaning noisy audio before transcription
- →Students and researchers converting lecture recordings to text
- →Creators repurposing YouTube video content into text form
- →Professionals needing quick AI summaries of long recordings
- →Quickly transcribing an interview recording
- →Converting a lecture video to text notes
- →Turning podcast audio into a written article
- →Getting a transcript without installing an app
- →Transcribing podcast episodes for accessibility and SEO
- →Converting business meeting recordings into text records
- →Generating subtitles for video content
- →Transcribing lecture recordings or voice memos for students
- →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