Transcript.LOL

Transcript LOL converts audio and video into text, then turns the result into something usable. Beyond the transcript itself it generates summaries, action items, key themes, mind maps, quizzes and draft posts. Transcription runs on OpenAI's Whisper, with custom vocabulary support for names and jargon, automatic speaker detection and files up to 10 hours long. Material can arrive by direct upload or by link from Google Drive, Dropbox, OneDrive, Box, Zoom, YouTube, Vimeo, TikTok, Instagram, Facebook, X and Reddit, and there are entry points through a Chrome extension, WhatsApp, Telegram, Zapier and an API. Once a transcript exists, editing covers find and replace, speaker assignment, rich text formatting and highlighting, and export covers TXT, DOCX, PDF, SRT and VTT. A chatbot answers questions about the content, and reusable custom prompts apply the same analysis to every new file. Shared spaces, folders and search across the whole library suit teams accumulating a catalog of recordings, such as research interviews, sales calls and lectures. Two plans are published. Free costs $0 and allows two transcripts a day, up to 20 minutes per upload, one file at a time and low priority processing. The Unlimited plan is shown at $10 per month, with an annual option billed at $120, and lifts the limits to unlimited transcripts, files up to 10 hours and 5 GB, ten files uploaded at once, high priority processing, and the summary, custom prompt and chatbot features. The vendor leads on privacy rather than scale, and the analysis step can be run against several model families, including those from OpenAI, Google, Anthropic, Meta and xAI.