REPOGEO REPORT · LITE

KoljaB/RealtimeSTT

Default branch master · commit 239451c0 · scanned 5/23/2026, 4:51:48 AM

GitHub: 9,805 stars · 836 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/RealtimeSTT, 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 the README's opening paragraph to highlight local, real-time, and developer-focused aspects

Why:

CURRENT

RealtimeSTT is a Python speech-to-text library for applications that need voice activity detection, fast transcription, optional realtime text updates, wake words, and direct access to audio streams. It is designed for assistants, dictation tools, browser streaming servers, and prototypes that need to turn speech into text with only a few lines of code.

COPY-PASTE FIX

RealtimeSTT is a robust, efficient, and low-latency **offline** Python speech-to-text library designed for **real-time streaming audio**. It provides advanced voice activity detection (VAD), wake word activation, and instant transcription, making it ideal for developers building local voice assistants, dictation tools, and browser streaming servers.

highhomepage#2
Add the repository URL as the homepage in the About section
Why:
COPY-PASTE FIX
```
https://github.com/KoljaB/RealtimeSTT
```

mediumtopics#3

Expand repository topics with more specific keywords

Why:

CURRENT

python, realtime, speech-to-text

COPY-PASTE FIX

python, realtime, speech-to-text, vad, voice-activity-detection, wake-word, offline, streaming-audio, asr

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/RealtimeSTT

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Google Cloud Speech-to-Text

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Google Cloud Speech-to-Text · recommended 2×
Mozilla DeepSpeech · recommended 2×
Picovoice Porcupine · recommended 1×
Picovoice Rhino · recommended 1×
Picovoice Cobra · recommended 1×

CATEGORY QUERY
What's a good Python library for real-time speech transcription with VAD and wake word?
you: not recommended
AI recommended (in order):
1. Picovoice Porcupine
2. Picovoice Rhino
3. Picovoice Cobra
4. Vosk
5. WebRTC VAD
6. OpenAI Whisper
7. PyAudioAnalysis
8. Google Cloud Speech-to-Text
9. Mozilla DeepSpeech
AI recommended 9 alternatives but never named KoljaB/RealtimeSTT. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking an efficient Python speech recognition library for streaming audio with low latency.
you: not recommended
AI recommended (in order):
1. Vosk API
2. Mozilla DeepSpeech
3. AssemblyAI
4. Google Cloud Speech-to-Text
5. Amazon Transcribe
6. Whisper
7. SpeechRecognition
AI recommended 7 alternatives but never named KoljaB/RealtimeSTT. 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/RealtimeSTT?
pass
AI named KoljaB/RealtimeSTT 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/RealtimeSTT in production, what risks or prerequisites should they evaluate first?
pass
AI named KoljaB/RealtimeSTT 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/RealtimeSTT solve, and who is the primary audience?
pass
AI named KoljaB/RealtimeSTT 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 KoljaB/RealtimeSTT. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/KoljaB/RealtimeSTT.svg)](https://repogeo.com/en/r/KoljaB/RealtimeSTT)

HTML

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

Pro

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KoljaB/RealtimeSTT — 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