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/*
elizabot.js v.1.1 - ELIZA JS library (N.Landsteiner 2005)
Eliza is a mock Rogerian psychotherapist.
Original program by Joseph Weizenbaum in MAD-SLIP for "Project MAC" at MIT.
cf: Weizenbaum, Joseph "ELIZA - A Computer Program For the Study of Natural Language
Communication Between Man and Machine"
in: Communications of the ACM; Volume 9 , Issue 1 (January 1966): p 36-45.
JavaScript implementation by Norbert Landsteiner 2005; <http://www.masserk.at>
synopsis:

title:: This is | also a test

  • Heading One

    • Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ac orci phasellus egestas tellus rutrum tellus pellentesque eu tincidunt. Nisl pretium fusce id velit ut tortor pretium viverra. Morbi tincidunt ornare massa eget egestas. Amet dictum sit amet justo. Sit amet nulla facilisi morbi tempus iaculis. Aliquam faucibus purus in massa tempor nec feugiat nisl
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candideu / Open Source AI Scribe, Auto-Transcriber, Speech-to-text Transcriptions, Captions & Subtitles Exporter, Interactive Transcripts, Alternative to Otter.ai, Descript, Sonix.ai.md
Last active October 24, 2024 18:27
Open Source AI Scribe / Auto-Transcriber / Speech-to-text Transcriptions / Captions & Subtitles Exporter / Interactive Transcripts / Alternative to Otter.ai, Descript, Sonix.ai

Hello world!

As a video editor, researcher, digital media enthusiast, and lover of all things FLOSS, I've been on the hunt for an open source alternative to proprietary services like Otter.ai, Sonix, and Descript. I've pitched my idead on open-source-ideas, but I wanted to create a dedicated post for it so that it can reach as many people as possible.

Project description

The idea

A simple, easy-to-use application where users can dictate or upload audio or video files, and an automated transcript is generated. This transcript is synced to the audio track, clickable, and editable, so that users can skip to certain passages and refine the transcript accordingly.

The revised transcript can then be exported as plain text, .srt caption file (and other subtitle formats), .pdf, shareable web page, etc. for further processing.