REPOGEO REPORT · LITE

linto-ai/whisper-timestamped

Default branch master · commit 137f4e04 · scanned 6/19/2026, 2:36:39 PM

GitHub: 2,818 stars · 209 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

28 /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

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 linto-ai/whisper-timestamped, 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 H1 to clearly state it's a Python library enhancing Whisper

Why:

CURRENT

# whisper-timestamped

Multilingual Automatic Speech Recognition with word-level timestamps and confidence.

COPY-PASTE FIX

# whisper-timestamped: OpenAI Whisper with word-level timestamps, confidence, and speaker diarization

This Python library extends OpenAI's Whisper model to provide accurate word-level timestamps, confidence scores, and integrated speaker diarization for multilingual automatic speech recognition.

mediumhomepage#2
Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIX
```
https://github.com/linto-ai/whisper-timestamped
```

mediumtopics#3

Refine repository topics to emphasize library features and application

Why:

CURRENT

asr, attention-is-all-you-need, attention-mechanism, attention-model, attention-network, attention-seq2seq, attention-visualization, deep-learning, machine-learning, multilingual-models, python, python3, pytorch, speaker-diarization, speech, speech-processing, speech-recognition, speech-to-text, transformers, whisper

COPY-PASTE FIX

asr, deep-learning, machine-learning, multilingual-models, python, python3, pytorch, speaker-diarization, speech, speech-processing, speech-recognition, speech-to-text, transformers, whisper, whisper-model, word-timestamps, speech-to-text-library, audio-processing, voice-activity-detection

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 linto-ai/whisper-timestamped

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 API

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Google Cloud Speech-to-Text API · recommended 2×
AWS Transcribe · recommended 2×
AssemblyAI · recommended 2×
Azure Cognitive Services Speech · recommended 1×
Deepgram · recommended 1×

CATEGORY QUERY
How to get accurate word-level timestamps and confidence from multilingual audio speech?
you: not recommended
AI recommended (in order):
1. Google Cloud Speech-to-Text API
2. AWS Transcribe
3. Azure Cognitive Services Speech
4. AssemblyAI
5. Deepgram
6. OpenAI Whisper (openai/whisper)
7. Picovoice Rhino Speech-to-Intent
AI recommended 7 alternatives but never named linto-ai/whisper-timestamped. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What's a good Python library for speech-to-text with speaker diarization and voice activity detection?
you: not recommended
AI recommended (in order):
1. AssemblyAI
2. Google Cloud Speech-to-Text API
3. AWS Transcribe
4. OpenAI Whisper
5. Pyannote.Audio
6. Vosk
7. DeepSpeech
AI recommended 7 alternatives but never named linto-ai/whisper-timestamped. 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 linto-ai/whisper-timestamped?
pass
AI did not name linto-ai/whisper-timestamped — 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 linto-ai/whisper-timestamped in production, what risks or prerequisites should they evaluate first?
pass
AI named linto-ai/whisper-timestamped 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 linto-ai/whisper-timestamped solve, and who is the primary audience?
pass
AI named linto-ai/whisper-timestamped 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 linto-ai/whisper-timestamped. 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/linto-ai/whisper-timestamped.svg)](https://repogeo.com/en/r/linto-ai/whisper-timestamped)

HTML

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

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Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite