REPOGEO REPORT · LITE

Uberi/speech_recognition

Default branch master · commit 7126fff8 · scanned 5/24/2026, 6:02:44 AM

GitHub: 8,963 stars · 2,424 forks

AI VISIBILITY SCORE

45 /100

Critical

Category recall

1 / 2

Avg rank #7.0 when recommended

Rule findings

2 pass · 0 warn · 0 fail

Objective metadata checks

AI knows your name

1 / 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 Uberi/speech_recognition, 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 README opening to clarify unique value proposition

Why:

CURRENT

SpeechRecognition

COPY-PASTE FIX

Uberi/speech_recognition is a comprehensive Python library that provides a unified, high-level interface to multiple speech recognition engines and APIs, supporting both online and offline transcription. It abstracts away the complexities of individual services, allowing developers to easily integrate speech-to-text capabilities into their Python applications.

mediumtopics#2

Add more specific topics to highlight multi-engine and abstraction

Why:

CURRENT

audio, python, speech-recognition, speech-to-text

COPY-PASTE FIX

audio, python, speech-recognition, speech-to-text, multi-engine, api-wrapper, offline-speech-recognition, online-speech-recognition

lowreadme#3

Add a 'Key Features' or 'Why Choose This Library?' section

Why:

COPY-PASTE FIX

## Key Features
- **Unified API:** Seamlessly switch between various speech recognition engines with a single, consistent interface.
- **Broad Engine Support:** Integrates with popular online services (e.g., Google Cloud Speech-to-Text, Microsoft Azure Speech, IBM Watson Speech to Text) and offline engines (e.g., CMU Sphinx, Vosk).
- **Flexible Audio Input:** Supports various audio sources, including microphone input, audio files, and raw audio data.
- **Easy to Use:** Designed for Python developers seeking straightforward integration of speech-to-text functionality.

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

1 / 2

50% of queries surface Uberi/speech_recognition

Avg rank

#7.0

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

AssemblyAI

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

AssemblyAI · recommended 2×
Google Cloud Speech-to-Text · recommended 2×
AWS Transcribe · recommended 1×
openai/whisper · recommended 1×
Azure Cognitive Services Speech · recommended 1×

CATEGORY QUERY
What is a reliable Python library for converting spoken audio into text?
you: #7
AI recommended (in order):
1. AssemblyAI
2. Google Cloud Speech-to-Text
3. AWS Transcribe
4. OpenAI Whisper (openai/whisper)
5. Azure Cognitive Services Speech
6. DeepSpeech (mozilla/DeepSpeech)
7. SpeechRecognition (Uberi/speech_recognition) ← you
Show full AI answer
CATEGORY QUERY
Seeking a versatile Python module for speech-to-text, supporting both online and offline recognition.
you: not recommended
AI recommended (in order):
1. SpeechRecognition
2. Vosk API
3. DeepSpeech
4. Google Cloud Speech-to-Text
5. google-cloud-speech
6. AssemblyAI
7. assemblyai
8. Whisper
9. openai-whisper
10. transformers
AI recommended 10 alternatives but never named Uberi/speech_recognition. 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 Uberi/speech_recognition?
pass
AI did not name Uberi/speech_recognition — 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?
If a team adopts Uberi/speech_recognition in production, what risks or prerequisites should they evaluate first?
pass
AI named Uberi/speech_recognition 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 Uberi/speech_recognition solve, and who is the primary audience?
pass
AI did not name Uberi/speech_recognition — 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?

Embed your GEO score

Drop this badge into the README of Uberi/speech_recognition. 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/Uberi/speech_recognition.svg)](https://repogeo.com/en/r/Uberi/speech_recognition)

HTML

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

Pro

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Uberi/speech_recognition — 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