REPOGEO REPORT · LITE

speaches-ai/speaches

Default branch master · commit 993994f7 · scanned 5/22/2026, 6:42:01 AM

GitHub: 3,314 stars · 397 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 speaches-ai/speaches, 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

highabout#1

Add a concise description to the About section

Why:

COPY-PASTE FIX

An OpenAI API-compatible server for streaming transcription, translation, and speech generation, powered by faster-whisper, piper, and Kokoro.

hightopics#2

Expand repository topics to improve category visibility

Why:

CURRENT

docker, docker-compose, faster-whisper, openai-api, openai-whisper, openai-whisper-translation, transcription, whisper, whisper-ai

COPY-PASTE FIX

docker, docker-compose, faster-whisper, openai-api, openai-whisper, openai-whisper-translation, transcription, whisper, whisper-ai, text-to-speech, speech-to-text, inference-server, api-server, ollama-alternative, realtime-api, self-hosted, local-ai

mediumreadme#3

Emphasize 'self-hostable' and 'local' in the README's introduction

Why:

CURRENT

`speaches` is an OpenAI API-compatible server supporting streaming transcription, translation, and speech generation. Speach-to-Text is powered by faster-whisper and for Text-to-Speech piper and Kokoro are used. This project aims to be Ollama, but for TTS/STT models.

COPY-PASTE FIX

`speaches` is a self-hostable, OpenAI API-compatible server supporting streaming transcription, translation, and speech generation using local models. Speach-to-Text is powered by faster-whisper and for Text-to-Speech piper and Kokoro are used. This project aims to be Ollama, but for TTS/STT models.

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 speaches-ai/speaches

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Coqui TTS

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Coqui TTS · recommended 2×
OpenVoice · recommended 1×
Whisper · recommended 1×
FastAPI · recommended 1×
NVIDIA Triton Inference Server · recommended 1×

CATEGORY QUERY
How to self-host an OpenAI API-compatible server for speech-to-text and text-to-speech models?
you: not recommended
AI recommended (in order):
1. OpenVoice
2. Whisper
3. FastAPI
4. NVIDIA Triton Inference Server
5. Clova Speech
6. VITS
7. Coqui TTS
8. Vosk
9. Kaldi
10. Flask
11. LocalAI
12. Piper
13. Gradio
AI recommended 13 alternatives but never named speaches-ai/speaches. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are options for a local streaming speech-to-text and text-to-speech server with dynamic model loading?
you: not recommended
AI recommended (in order):
1. NVIDIA Riva
2. Coqui STT
3. Coqui TTS
4. Picovoice Rhino Speech-to-Text
5. Picovoice Porcupine Wake Word Engine
6. ESPnet
7. OpenVINO
8. Hugging Face Transformers
AI recommended 8 alternatives but never named speaches-ai/speaches. 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 speaches-ai/speaches?
pass
AI named speaches-ai/speaches explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts speaches-ai/speaches in production, what risks or prerequisites should they evaluate first?
pass
AI named speaches-ai/speaches 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 speaches-ai/speaches solve, and who is the primary audience?
pass
AI named speaches-ai/speaches 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 speaches-ai/speaches. 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/speaches-ai/speaches.svg)](https://repogeo.com/en/r/speaches-ai/speaches)

HTML

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

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speaches-ai/speaches — 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