REPOGEO REPORT · LITE

alesaccoia/VoiceStreamAI

Default branch main · commit 465403b7 · scanned 6/10/2026, 1:52:44 AM

GitHub: 959 stars · 142 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 alesaccoia/VoiceStreamAI, 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 emphasize 'self-hosted solution'

Why:

CURRENT

VoiceStreamAI is a Python 3 -based server and JavaScript client solution that enables near-realtime audio streaming and transcription using WebSocket. The system employs Huggingface's Voice Activity Detection (VAD) and OpenAI's Whisper model (faster-whisper being the default) for accurate speech recognition and processing.

COPY-PASTE FIX

VoiceStreamAI is a **self-hosted, near-realtime audio streaming and transcription solution** built with Python (server) and JavaScript (client). It provides a complete, low-latency pipeline via WebSockets, leveraging Huggingface's VAD and OpenAI's Whisper (faster-whisper default) for accurate speech recognition. Unlike standalone models or cloud APIs, VoiceStreamAI offers a ready-to-deploy, customizable application for interactive voice AI.

mediumtopics#2

Add more specific topics to improve category matching

Why:

CURRENT

ai, speech-recognition, speech-to-text, websocket

COPY-PASTE FIX

ai, speech-recognition, speech-to-text, websocket, real-time, streaming, self-hosted, python, javascript, whisper

lowhomepage#3
Add a homepage URL to the repository's About section
Why:
COPY-PASTE FIX
```
https://github.com/alesaccoia/VoiceStreamAI
```

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 alesaccoia/VoiceStreamAI

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

openai/whisper

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

openai/whisper · recommended 1×
alphacep/vosk-api · recommended 1×
mozilla/DeepSpeech · recommended 1×
kaldi-asr/kaldi · recommended 1×
Picovoice Rhino Speech-to-Text Engine · recommended 1×

CATEGORY QUERY
What are the best tools for real-time, self-hosted speech-to-text processing?
you: not recommended
AI recommended (in order):
1. Whisper (openai/whisper)
2. Vosk (alphacep/vosk-api)
3. Mozilla DeepSpeech (mozilla/DeepSpeech)
4. Kaldi (kaldi-asr/kaldi)
5. Picovoice Rhino Speech-to-Text Engine
AI recommended 5 alternatives but never named alesaccoia/VoiceStreamAI. This is the gap to close.
Show full AI answer
CATEGORY QUERY
How can I build a Python/JS application for streaming audio transcription via WebSockets?
you: not recommended
AI recommended (in order):
1. AssemblyAI
2. Deepgram
3. Google Cloud Speech-to-Text
4. AWS Transcribe
5. OpenAI Whisper
6. FastAPI
7. websockets (library)
8. Web Audio API
9. WebSocket API (built-in browser)
10. MediaRecorder API
11. opus-media-recorder
AI recommended 11 alternatives but never named alesaccoia/VoiceStreamAI. 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 alesaccoia/VoiceStreamAI?
pass
AI named alesaccoia/VoiceStreamAI explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts alesaccoia/VoiceStreamAI in production, what risks or prerequisites should they evaluate first?
pass
AI named alesaccoia/VoiceStreamAI 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 alesaccoia/VoiceStreamAI solve, and who is the primary audience?
pass
AI named alesaccoia/VoiceStreamAI 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 alesaccoia/VoiceStreamAI. 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)

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

HTML

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

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alesaccoia/VoiceStreamAI — 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