Whisper Web is a browser-based transcription tool for converting audio, voice recordings, and YouTube videos into text. It produces transcripts with speaker labels and AI summaries, and it supports more than 100 languages. The service is free to try and does not require a credit card.
The workflow centers on uploading audio or video files, pasting a YouTube URL, or recording from a microphone in the browser. Supported file types listed on the page include MP3, MP4, M4A, WAV, OGG, FLAC, and MOV, with files up to 2GB each. Whisper Web says it uses OpenAI Whisper, which provides timestamps and speaker labels, auto-detects languages, and works with mixed-language audio. It also states that the system handles clear audio, accents, crosstalk, and conference-room background noise.
Output options include TXT, DOCX, PDF, SRT, VTT, and JSON. Transcripts are paired with a structured summary that highlights key points, action items, decisions, and quotes, and the summary feature includes 12 specialized templates. The page also says transcripts, text exports, and AI summaries can be sent to Notion and to Zapier-connected apps, and that exports can be pasted into Google Docs or Slack. It names use cases such as Zoom, Microsoft Teams, Google Meet, and Webex recordings, as well as meetings, sales calls, one-to-ones, and panel interviews.
The site describes Whisper Web as free forever and free to try with two free transcriptions plus three AI summaries. It is browser-based, with no install, no plugin, no extension, and no IT ticket required. The page also states that audio is encrypted in transit, processed in isolation, deleted after transcription, and never used to train AI models.
In the AI space, Whisper Web takes a focused approach. It focuses on transcribing audio and video content quickly and accurately without manual effort. Whisper Web is a consumer product aimed at content creators. Whisper Web is free to use. It ships for the web.
Whisper Web first shipped in 2024. Key capabilities include audio transcription, speaker labels, and AI summaries. The interface is available in 4 languages, including Afrikaans, Bulgarian, and English.
Summary written by a language model from the project’s public pages.
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