RRepoGEO

REPOGEO REPORT · LITE

inworld-ai/tts

Default branch main · commit a8556e42 · scanned 6/14/2026, 2:57:20 PM

GitHub: 726 stars · 78 forks

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 inworld-ai/tts, 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
  • hightopics#1
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    text-to-speech, tts, speech-synthesis, speechlm, deep-learning, pytorch, machine-learning, ai, training, fine-tuning, distributed-training, inworld-ai
  • highreadme#2
    Strengthen the README's opening paragraph for clarity and keywords

    Why:

    CURRENT
    This repository contains the training and modeling code used to create Inworld TTS-1 and TTS-1-Max models. You can use this code to pre-train, fine-tune, or align with RL your arbitrary SpeechLM-based TTS model, no matter if you're using a single GPU machine or a multi-GPU cluster.
    COPY-PASTE FIX
    This repository provides the advanced training and modeling code for creating custom, high-quality SpeechLM-based Text-to-Speech (TTS) models, including the Inworld TTS-1 and TTS-1-Max. It enables researchers and developers to pre-train, fine-tune, or align with Reinforcement Learning (RL) any SpeechLM-based TTS model, supporting both single-GPU machines and multi-GPU clusters for distributed training.
  • mediumhomepage#3
    Add the official Inworld TTS homepage link

    Why:

    COPY-PASTE FIX
    https://inworld.ai/tts

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 inworld-ai/tts
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Coqui TTS
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Coqui TTS · recommended 1×
  2. ESPnet · recommended 1×
  3. NVIDIA NeMo · recommended 1×
  4. TensorFlow TTS · recommended 1×
  5. PyTorch-TTS · recommended 1×
  • CATEGORY QUERY
    How can I train a custom text-to-speech model using my own audio data?
    you: not recommended
    AI recommended (in order):
    1. Coqui TTS
    2. ESPnet
    3. NVIDIA NeMo
    4. TensorFlow TTS
    5. PyTorch-TTS
    6. Google Cloud Text-to-Speech Custom Voice
    7. Amazon Polly Custom Voices

    AI recommended 7 alternatives but never named inworld-ai/tts. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Python framework to fine-tune SpeechLM-based text-to-speech models with distributed training.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers (huggingface/transformers)
    2. PyTorch Lightning (Lightning-AI/lightning)
    3. DeepSpeed (microsoft/DeepSpeed)
    4. Fairseq (facebookresearch/fairseq)
    5. TensorFlow (tensorflow/tensorflow)
    6. Keras (keras-team/keras)

    AI recommended 6 alternatives but never named inworld-ai/tts. 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 inworld-ai/tts?
    pass
    AI named inworld-ai/tts explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts inworld-ai/tts in production, what risks or prerequisites should they evaluate first?
    pass
    AI named inworld-ai/tts 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 inworld-ai/tts solve, and who is the primary audience?
    pass
    AI named inworld-ai/tts explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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inworld-ai/tts — 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