REPOGEO REPORT · LITE

DigitalPhonetics/IMS-Toucan

Default branch MassiveScaleToucan · commit 3cc2094d · scanned 5/22/2026, 11:02:27 PM

GitHub: 2,199 stars · 318 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 DigitalPhonetics/IMS-Toucan, 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

Clarify project identity in README to prevent miscategorization

Why:

CURRENT

IMS Toucan is a toolkit for training, using, and teaching state-of-the-art Text-to-Speech Synthesis, developed at the Institute for Natural Language Processing (IMS), University of Stuttgart, Germany, official home of the massively multilingual ToucanTTS system. Our system is fast, controllable, and doesn't require a ton of compute.

COPY-PASTE FIX

IMS Toucan is a toolkit for training, using, and teaching state-of-the-art Text-to-Speech Synthesis, developed at the Institute for Natural Language Processing (IMS), University of Stuttgart, Germany, official home of the massively multilingual ToucanTTS system. Please note: This project is a Text-to-Speech (TTS) toolkit and has no relation to IP Multimedia Subsystem (IMS) telecommunications systems. Our system is fast, controllable, and doesn't require a ton of compute.

highhomepage#2
Add homepage URL to repository metadata
Why:
COPY-PASTE FIX
```
https://huggingface.co/spaces/Flux9665/MassivelyMultilingualTTS
```

mediumtopics#3

Add more specific topics for better category visibility

Why:

CURRENT

deep-learning, pytorch, speech, speech-processing, speech-synthesis, text-to-speech, toolkit, tts

COPY-PASTE FIX

deep-learning, pytorch, speech, speech-processing, speech-synthesis, text-to-speech, toolkit, tts, multilingual-tts, low-resource-tts, speech-generation

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 DigitalPhonetics/IMS-Toucan

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Google Cloud Text-to-Speech

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Google Cloud Text-to-Speech · recommended 1×
Amazon Polly · recommended 1×
Microsoft Azure Cognitive Services Speech · recommended 1×
ElevenLabs · recommended 1×
coqui-ai/TTS · recommended 1×

CATEGORY QUERY
What are good options for massively multilingual text-to-speech synthesis without high compute?
you: not recommended
AI recommended (in order):
1. Google Cloud Text-to-Speech
2. Amazon Polly
3. Microsoft Azure Cognitive Services Speech
4. ElevenLabs
5. Coqui TTS (coqui-ai/TTS)
6. Mozilla Common Voice (mozilla/common-voice)
AI recommended 6 alternatives but never named DigitalPhonetics/IMS-Toucan. This is the gap to close.
Show full AI answer
CATEGORY QUERY
I need a flexible deep learning toolkit for building custom speech synthesis models.
you: not recommended
AI recommended (in order):
1. PyTorch
2. TensorFlow
3. JAX
4. ESPnet
AI recommended 4 alternatives but never named DigitalPhonetics/IMS-Toucan. 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 DigitalPhonetics/IMS-Toucan?
pass
AI named DigitalPhonetics/IMS-Toucan explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts DigitalPhonetics/IMS-Toucan in production, what risks or prerequisites should they evaluate first?
pass
AI named DigitalPhonetics/IMS-Toucan 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 DigitalPhonetics/IMS-Toucan solve, and who is the primary audience?
pass
AI named DigitalPhonetics/IMS-Toucan 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 DigitalPhonetics/IMS-Toucan. 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/DigitalPhonetics/IMS-Toucan.svg)](https://repogeo.com/en/r/DigitalPhonetics/IMS-Toucan)

HTML

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

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DigitalPhonetics/IMS-Toucan — 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