Whisper Web

Whisper Web is a free, browser-based transcription tool that converts audio, video, and YouTube links into text with speaker labels, timestamps, and AI summaries. It supports 100+ languages and exports to six formats, with no signup required for short files.

Whisper Web is a browser-based transcription service that turns audio, video, and YouTube links into written text with speaker labels and an AI-generated summary. It runs on Whisper-class speech recognition, which the site describes as a separate and independent product not affiliated with OpenAI. The core pitch is speed and zero setup: drop a file, paste a link, or record from the microphone, and a transcript with timestamps arrives in under three minutes for short material. Supported inputs include MP3, MP4, M4A, WAV, OGG, FLAC, and MOV up to 2GB per file, plus meeting exports from Zoom, Teams, Google Meet, and Webex. The tool is aimed at people who handle conversations for a living: sales teams reviewing calls, consultants and UX researchers working through interviews, journalists checking quotes, podcasters needing show notes, and students capturing lectures. The automatic speaker labels matter most for multi-person recordings, and the four summary templates (Meeting, Interview, Sales Call, General) shape the output around key points, decisions, action items, and quotes rather than a raw wall of text. Language coverage is broad, with more than 100 languages auto-detected and mixed-language audio accepted. The workflow is deliberately shallow. There is no meeting bot to invite, no software to install, and no account required to start. Output can be exported as TXT, DOCX, PDF, SRT, VTT, or JSON, with speaker labels and timestamps preserved, and pushed to Notion or routed through Zapier to apps such as Google Docs and Slack. Privacy is handled by encrypting audio in transit, processing it in isolation, and deleting it after transcription, with no training on customer audio. Against alternatives, the positioning is clear. Otter joins meetings with a bot, Rev sells human transcription at a per-minute rate, and self-hosted OpenAI Whisper demands Python, FFmpeg, and a GPU. Whisper Web sits in the middle: automated accuracy with speaker labels and summaries, free for short files, paid when recordings run long. Teams with compliance requirements around where audio is processed should still verify the architecture before adopting it.