REPOGEO REPORT · LITE

metavoiceio/metavoice-src

Default branch main · commit de3fa211 · scanned 6/27/2026, 3:52:48 PM

GitHub: 4,202 stars · 692 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)

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

AI VISIBILITY SCORE

33 /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

2 / 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 metavoiceio/metavoice-src, 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 to explicitly state the repo's purpose and audience

Why:

CURRENT

# MetaVoice-1B

MetaVoice-1B is a 1.2B parameter base model trained on 100K hours of speech for TTS (text-to-speech).

COPY-PASTE FIX

This repository provides the open-source implementation of MetaVoice-1B, a foundational 1.2B parameter model for human-like, expressive text-to-speech (TTS) and zero-shot voice cloning. Designed for developers and researchers, MetaVoice-1B offers emotional speech rhythm and tone in English, zero-shot cloning for American & British voices with just 30s reference audio, and support for cross-lingual voice cloning with finetuning.

mediumreadme#2

Add a dedicated section highlighting zero-shot voice cloning capabilities

Why:

COPY-PASTE FIX

## Zero-Shot Voice Cloning

MetaVoice-1B excels in zero-shot voice cloning, allowing users to replicate American and British voices with as little as 30 seconds of reference audio. This capability is ideal for custom speech synthesis applications requiring rapid voice adaptation.

lowreadme#3

Clarify that the repo provides a deployable solution/tool

Why:

COPY-PASTE FIX

Additionally, this repository includes a deployable web UI and server for easy integration 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 metavoiceio/metavoice-src

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

coqui-ai/TTS

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

coqui-ai/TTS · recommended 1×
mozilla/TTS · recommended 1×
espnet/espnet · recommended 1×
MycroftAI/mimic3 · recommended 1×
OpenVPI/OpenVPI · recommended 1×

CATEGORY QUERY
What are the best open-source tools for generating expressive, human-like voices from text?
you: not recommended
AI recommended (in order):
1. Coqui TTS (coqui-ai/TTS)
2. Mozilla TTS (mozilla/TTS)
3. ESPnet (espnet/espnet)
4. Mycroft Mimic 3 (MycroftAI/mimic3)
5. OpenVPI (OpenVPI/OpenVPI)
AI recommended 5 alternatives but never named metavoiceio/metavoice-src. This is the gap to close.
Show full AI answer
CATEGORY QUERY
How can I implement zero-shot voice cloning for custom speech synthesis applications?
you: not recommended
AI recommended (in order):
1. ElevenLabs
2. OpenAI Voice Engine
3. Coqui XTTS
4. Resemble.ai
5. Play.ht
6. Google Cloud Text-to-Speech
7. Microsoft Azure AI Speech
AI recommended 7 alternatives but never named metavoiceio/metavoice-src. 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 metavoiceio/metavoice-src?
pass
AI named metavoiceio/metavoice-src explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts metavoiceio/metavoice-src in production, what risks or prerequisites should they evaluate first?
pass
AI named metavoiceio/metavoice-src 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 metavoiceio/metavoice-src solve, and who is the primary audience?
pass
AI did not name metavoiceio/metavoice-src — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/metavoiceio/metavoice-src.svg)](https://repogeo.com/en/r/metavoiceio/metavoice-src)

HTML

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

Pro

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metavoiceio/metavoice-src — 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