What is csic21/luma-subtitle?
csic21/luma-subtitle is a Rust project for speech transcription and automatic captions, with setup instructions in its source repository.
csic21/luma-subtitle is a Rust implementation published in the csic21 GitHub namespace. The checked project documentation includes setup or usage instructions for a speech-recognition workflow. Its documentation discusses speech transcription, automatic captions, file input, translation workflow and text exports. The repository metadata identifies the license as GPL-3.0; review the license text and any separately licensed models before redistribution. A public source repository does not establish production readiness, hosted-service availability or measured transcription quality.
Creators comparing ways to turn spoken media into readable, timed text.
平台类型
Confirm the exact operating system, device and plan requirements with the provider.
Source details
- Repository
- csic21/luma-subtitle
- Project namespace
- csic21
- Main implementation language
- Rust
- License metadata
- GPL-3.0
- Default branch
- main
- Last recorded repository push
- 2026-10-13
功能
These highlights describe the provider’s public offering. Availability can depend on the selected plan or product version.
Speech transcription
Convert spoken material into text for review and correction.
Automatic captions
Produce text alongside spoken video or audio; check timing and export formats in the app.
Implementation and setup
The repository identifies Rust as its main implementation language and documents installation or usage. Dependencies and supported environments should be checked in the current README.
What to check in your trial
Test a clip containing names and overlapping speech. Inspect caption timing, corrections, export formats and watermarks under the intended plan.
- Start with a representative video and include a difficult name, a speaker change and a section with fast speech.
- Read the transcript and watch the captions separately. Check timing, line breaks, translation and whether shortened clips retain the intended context.
- Export into your final editing or publishing tool. Confirm subtitle format, video resolution, watermarks and the options available to collaborators.
csic21/luma-subtitle pricing
This entry describes a source-code project rather than a verified hosted pricing plan. Review the license, model terms, hardware requirements and any paid inference or API dependencies in the project documentation.
Compare the complete cost
Compare the transcription allowance with video export, translation, dubbing, storage and team-seat limits. These may be separate features or usage pools even when they appear in the same editor.
Pricing source checked October 17, 2026. Checkout terms and current offers may change.
Alternatives to csic21/luma-subtitle
Featured listings and related tools to compare for workflow fit. Placement is not a measured performance ranking.
Common questions
What is csic21/luma-subtitle used for?
Creators comparing ways to turn spoken media into readable, timed text.
Has AI Scribe Review tested csic21/luma-subtitle?
This profile is based on official provider information and editorial guidance. A hands-on test by AI Scribe Review has not been recorded.
产品来源
Project repository and README · github.com↗Product information checked October 17, 2026. Selection guidance is our editorial advice; it is not a report of measured product performance.
csic21/luma-subtitle review articles
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