REPOGEO REPORT · LITE

KoljaB/RealtimeTTS

Default branch master · commit b064a6be · scanned 5/17/2026, 5:51:55 AM

GitHub: 3,917 stars · 388 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE

35 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 1 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 KoljaB/RealtimeTTS, 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
Update README H1 to emphasize real-time LLM streaming
Why:
CURRENT
```
# RealtimeTTS
```
COPY-PASTE FIX
```
# RealtimeTTS: Real-time Text-to-Speech for LLM Token Streams & Low-Latency Audio
```

mediumreadme#2

Strengthen README opening with unique value proposition

Why:

CURRENT

RealtimeTTS is a Python text-to-speech library for applications that need to turn strings, generators, and LLM token streams into audio with low latency.

COPY-PASTE FIX

RealtimeTTS is a Python text-to-speech library for applications that need to turn strings, generators, and LLM token streams into audio with low latency. It provides a unified, high-level interface for real-time, continuous streaming across multiple popular TTS engines, differentiating it from single-engine SDKs or simple wrappers.

mediumhomepage#3
Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIX
```
https://github.com/KoljaB/RealtimeTTS
```

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 KoljaB/RealtimeTTS

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

pndurette/gTTS

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

pndurette/gTTS · recommended 1×
Amazon Polly · recommended 1×
Microsoft Azure Text to Speech · recommended 1×
coqui-ai/TTS · recommended 1×
nateshmbhat/pyttsx3 · recommended 1×

CATEGORY QUERY
Python library for converting text to speech with minimal latency?
you: not recommended
AI recommended (in order):
1. Google Cloud Text-to-Speech (gTTS) (pndurette/gTTS)
2. Amazon Polly
3. Microsoft Azure Text to Speech
4. Coqui TTS (coqui-ai/TTS)
5. pyttsx3 (nateshmbhat/pyttsx3)
6. PicoTTS (oliver-schmidt/svox-pico-tts)
AI recommended 6 alternatives but never named KoljaB/RealtimeTTS. This is the gap to close.
Show full AI answer
CATEGORY QUERY
How to generate real-time audio from LLM token streams in Python?
you: not recommended
AI recommended (in order):
1. ElevenLabs
2. Google Cloud Text-to-Speech
3. AWS Polly
4. OpenAI TTS
5. Coqui TTS
6. Mozilla TTS
AI recommended 6 alternatives but never named KoljaB/RealtimeTTS. This is the gap to close.
Show full AI answer

Objective checks

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

Metadata completeness
warn
Suggestion:
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 KoljaB/RealtimeTTS?
pass
AI named KoljaB/RealtimeTTS explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts KoljaB/RealtimeTTS in production, what risks or prerequisites should they evaluate first?
pass
AI named KoljaB/RealtimeTTS 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 KoljaB/RealtimeTTS solve, and who is the primary audience?
pass
AI named KoljaB/RealtimeTTS explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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MARKDOWN (README)

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HTML

<a href="https://repogeo.com/en/r/KoljaB/RealtimeTTS"><img src="https://repogeo.com/badge/KoljaB/RealtimeTTS.svg" alt="RepoGEO" /></a>

Pro

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KoljaB/RealtimeTTS — 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