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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.
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.
Speech-to-text service for professionals needing fast, multilingual transcription of long-form audio and video with AI summaries.
Free trial available
No public pricing
No public pricing
- ✦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
- ✦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
- →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
- →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