Search Results for "text generation"

Concat is a free and open-source desktop video editor positioned as a local alternative to subscription-based editors such as CapCut. It uses a native Rust engine and performs editing entirely on the user’s machine. Projects can contain multiple tracks and timelines for more complex compositions. Core editing tools include splitting, trimming, merging, transitions, and playback-speed adjustment. Offline features include automatic captions, local text-to-speech voices, voice processing,...

...Its multitrack timeline supports trimming, transitions, effects, keyframes, and audio mixing. Transcript-based editing allows users to modify footage through spoken text and generate synchronized captions. The software includes motion graphics, color grading, and AI-assisted media generation. Codex, Claude Code, and other agents can interact with projects through MCP integration. Edits remain reversible and fully adjustable rather than becoming fixed outputs. Projects and media are stored locally by default, with exports supporting MP4, audio, captions, and FCPXML.

Subtitle Translator is an open-source desktop application that uses large language models, including ChatGPT, to translate subtitles into multiple languages. It considers preceding and following dialogue to produce context-aware translations that preserve conversational meaning. The application supports SRT, ASS, SSA, and WebVTT subtitle formats. Its Strict mode maintains a one-to-one correspondence between original and translated subtitle cues. Adaptive mode can merge or split adjacent cues...

auto-subtitle is a Python-based command-line tool that automatically generates and overlays subtitles on video files using AI-driven speech recognition. It combines FFmpeg with OpenAI’s Whisper model to transcribe spoken audio into text and synchronize it with video playback. The tool processes video input, extracts audio, and produces subtitle files that can be either exported separately or burned directly into the final video output. It supports multiple transcription models with varying...

The main purpose of this program is to provide functionality for extract hardcoded subtitles (hardsub) from video. It provides two main features: 1) Autodetection of frames with hardcoded text (hardsub) on video with saving info about timing positions. 2) Generation of cleared from background text images, which allows with usage of OCR programs (like FineReader, Subtitle Edit, Google Drive) to generate complete subtitles with original text and timing. For working of this program on Windows will be required "Microsoft Visual C++ Redistributable runtime libraries 2022": https://support.microsoft.com/en-us/help/2977003/the-latest-supported-visual-c-downloads Latest versions were built and tested on: Windows 10 x64, Ubuntu 20.04.5 LTS, openSUSE Leap 15.4, Arch Linux (EndeavourOS Cassini Nova 03-2023) For faster support in case of bug fixes please contact me in: https://vk.com/skosnits For donate: https://sourceforge.net/projects/videosubfinder/donate

...Like Weishi and Tiktok is full of all kinds of wonderful short videos. So how can users visually create video clips on the web easily and quickly? Based on pictures and Text content, dynamic batch generation of short videos is a technical problem. FFCreator is a lightweight and flexible solution that requires few dependencies and low machine configuration to start working quickly. It simulates 90% animation effects of animate.css. You can easily convert the animation effects on the web page side into videos.

Automatic YouTube subtitle generation is a command-line tool that combines YouTube downloading capabilities with AI-powered transcription using Whisper models. It allows users to download videos or audio from YouTube and automatically generate subtitles or transcripts. The tool processes media locally, extracting audio and applying speech recognition to produce accurate text outputs.

...You can also output this stdout and stderr streams as a text file for further analysis and inspection.