REPOGEO REPORT · LITE

zh-plus/openlrc

Default branch master · commit 45be59c6 · scanned 6/11/2026, 9:37:15 PM

GitHub: 660 stars · 50 forks

AI VISIBILITY SCORE

40 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 warn · 0 fail

Objective metadata checks

AI knows your name

3 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface zh-plus/openlrc, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

highreadme#1

Reposition README H1 and opening paragraph to emphasize LRC generation

Why:

CURRENT

# Open-Lyrics

Open-Lyrics is a Python library that transcribes audio with faster-whisper, then translates/polishes the text into `.lrc` subtitles with LLMs such as OpenAI and Anthropic.

COPY-PASTE FIX

# OpenLRC: AI-Powered LRC Lyric & Subtitle Generator

OpenLRC is a Python library designed to automatically generate high-quality, synchronized `.lrc` lyric and subtitle files from audio, leveraging advanced speech-to-text models like faster-whisper and large language models (LLMs) such as OpenAI and Anthropic for precise translation and polishing.

mediumcomparison#2

Add a 'Why OpenLRC?' or 'Comparison' section to the README

Why:

COPY-PASTE FIX

## Why OpenLRC?

Unlike generic speech-to-text APIs or broad translation services, OpenLRC is specifically engineered for the precise generation of `.lrc` lyric and subtitle files. It offers advanced features like context-aware translation and mixed-model support, providing greater control, accuracy, and cost-efficiency for creators focused on synchronized text output.

lowreadme#3

Add a 'Use Cases' section to the README

Why:

COPY-PASTE FIX

## Use Cases

- **Musicians & Artists:** Automatically generate synchronized lyrics for your songs, ready for playback in media players.
- **Content Creators:** Create precise subtitles for videos, podcasts, and audio content, enhancing accessibility and engagement.
- **Language Learners:** Produce dual-language LRC files for immersive language study from audio resources.
- **Developers:** Integrate a robust, AI-powered LRC generation pipeline into your applications.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall

0 / 2

0% of queries surface zh-plus/openlrc

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Happy Scribe

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Happy Scribe · recommended 2×
Google Cloud Speech-to-Text · recommended 2×
AssemblyAI · recommended 2×
Trint · recommended 1×
Google Cloud Translation · recommended 1×

CATEGORY QUERY
How to automatically generate synchronized translated subtitles from audio using AI?
you: not recommended
AI recommended (in order):
1. Happy Scribe
2. Trint
3. Google Cloud Speech-to-Text
4. Google Cloud Translation
5. Azure AI Speech
6. Azure AI Translator
7. DeepL Pro
8. Rev AI
9. AssemblyAI
10. Otter.ai
11. DeepL Translate
12. Google Translate
13. Adobe Premiere Pro
AI recommended 13 alternatives but never named zh-plus/openlrc. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Tool to create high-quality LRC lyric files from audio with large language models?
you: not recommended
AI recommended (in order):
1. Whisper (openai/whisper)
2. AssemblyAI
3. Google Cloud Speech-to-Text
4. Deepgram
5. Veed.io
6. Happy Scribe
7. Kapwing
8. Aegisub (Aegisub/Aegisub)
9. Subtitle Edit (SubtitleEdit/subtitleedit)
AI recommended 9 alternatives but never named zh-plus/openlrc. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
pass
README presence
pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

Compared to common alternatives in this category, what is the core differentiator of zh-plus/openlrc?
pass
AI named zh-plus/openlrc explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts zh-plus/openlrc in production, what risks or prerequisites should they evaluate first?
pass
AI named zh-plus/openlrc explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
In one sentence, what problem does the repo zh-plus/openlrc solve, and who is the primary audience?
pass
AI named zh-plus/openlrc explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of zh-plus/openlrc. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

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HTML

<a href="https://repogeo.com/en/r/zh-plus/openlrc"><img src="https://repogeo.com/badge/zh-plus/openlrc.svg" alt="RepoGEO" /></a>

Pro

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zh-plus/openlrc — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite