# bravekingzhang/text2video

半个神器👉一键文本转视频的工具

Repository: https://github.com/bravekingzhang/text2video
Canonical: https://ross.abutalabs.com/products/text2video
Language: Python
License: MIT
License Family: permissive
Topics: edge-tts, stable-diffusion, text2video
Last push: 2024-04-25T06:04:11+00:00

## Health v2 (maintenance only)
Score: 29/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 84
- inputs: {"age_days": 1181, "days_push": 860, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1049, forks 182 (observed 2026-08-28T04:03:22.722016+00:00)

## What it is
A Python web application that converts text (e.g., novel passages) into narrated videos. It splits text into sentences, generates images via Stable Diffusion or Pollinations, synthesizes speech with edge-tts, and assembles everything into an MP4 with subtitles using OpenCV and FFmpeg.

## Use cases
- turn a novel or story text into a narrated video
- generate videos from text with images and voiceover
- visualize text as a slideshow video with subtitles
- create audiobook-style videos from written content
- batch convert text passages into mp4 videos

## When to choose
- you want a self-hosted, one-click text-to-video pipeline
- you need videos with synced narration, images, and subtitles
- you want to visualize fiction or long-form text automatically

## When to avoid
- you need high-quality cinematic video generation rather than image slideshows
- you need Windows or Linux support without compatibility testing
- you want fine-grained editing control over the generated video

## Facets
- artifact type: application
- maturity: maintenance
- function: tts, stable-diffusion, video-processing, llm-inference, image-processing
- domain: artificial-intelligence, media
- platform: python, self-hosted
- tags: text-to-video, edge-tts, stable-diffusion, ffmpeg, opencv, novel-visualization, subtitle-generation, natural-language-processing, automation, macos, docker

## Member repositories
- bravekingzhang/text2video (main) score 29

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:22.722016+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:00:28.254889+00:00, confidence not recorded.
  - readme: https://github.com/bravekingzhang/text2video (fetched 2026-08-28T04:03:22.722016+00:00, sha 54236bd7f119)
- Data as of 2026-08-30T08:39:29.467469+00:00.