Problem solved

Manual transcription is slow and expensive, and raw audio/video is not easily searchable or reusable. This tool automates speech-to-text conversion for recordings, links, and media files, producing editable transcripts with timestamps and speaker labels so users can create notes, subtitles, summaries, and searchable records.

Use cases

• Transcribe meetings and interviews with speaker labels and timestamps
• Convert lecture recordings into study notes and searchable text
• Generate transcripts from podcasts or YouTube links
• Create subtitles and captions for video content
• Produce summaries and articles from audio recordings
• Convert audio/video files to text for documentation or analysis
• Record and transcribe voice notes or live audio directly in the browser

Audience

• Content Creators
• Business Users
• Researchers
• Hobbyists

Pros

• Browser-based; no installation required
• Supports multiple input types: file uploads, links, and recordings
• Advertises 200+ languages, speaker recognition, and timestamps
• Free credits available, including 50 on sign-in and 20 daily according to the homepage
• Also includes text-to-speech and audio conversion tools in the same workspace

Cons

• Pricing structure is not fully documented in the provided metadata
• 99.9% accuracy claim is not independently verified here
• Cloud upload may be unsuitable for sensitive or regulated audio
• Credit-based usage and task queues may limit heavy free use
• No public GitHub repository or API/self-hosting documentation is provided