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Reported issues for tts

Pod holds 9 of 9 problems reported by people outside the maintainer team. Issues filed by the project's own owners, members and collaborators are excluded entirely — a maintainer's release checklist is not a warning to a prospective user.

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Most discussed

TTS playback failure preflight: transport → payload → browser

Why this exists\n\nA TTS request can return text successfully while its audio path fails at transport, payload, or browser playback. BRAINIALL published a local metadata-only diagnostic that classifies five bounded observations: HTTP status, audio Content-Type, byte length, user activation, and the play() promise result.\n\nLive tool: https://www.brainiall.com/transcreve/en/tools/tts-playback-failure-preflight?utm_source=github&utm_medium=owned_issue&utm_campaign=c197_tts_playback&utm_conte

Read the thread · 2026-08-11 · open · 0 comments

C143: opt-in PyPI/npm package-registry QA fixtures

Context

The 1% Lab is testing demand-capture paths for teams discovering speech and document tooling through PyPI and npm.

Proposed opt-in fixture set

  • faster-whisper / WhisperX transcript and timestamp fixtures
  • PaddleOCR / OCRmyPDF / Docling / pypdf document-fidelity fixtures
  • npm-native Whisper and officeparser request/response examples

Constraints

  • Documentation and test fixtures only; no credentials, secrets, customer data, or automatic external actions.
  • Examples must use a

Read the thread · 2026-08-03 · open · 0 comments

C142: Docker Hub container fixtures for ASR/OCR QA

Context

The 1% Lab is testing demand-capture paths for teams discovering containerized ASR/OCR tooling through Docker Hub.

Proposed opt-in fixture set

  • faster-whisper / Whisper API / WhisperX transcription fixtures
  • diarization and speech-to-text request/response examples
  • PaddleOCR, OCRmyPDF, Tesseract, Docling and InvoiceShelf integration QA fixtures

Constraints

  • Documentation and test fixtures only; no credentials, secrets, customer data, or automatic external actions.
  • Any ex

Read the thread · 2026-08-03 · open · 0 comments

C141 opt-in Hugging Face fixtures for ASR and OCR QA

BRAINIALL abriu o ciclo C141 para equipes que usam modelos, datasets e Spaces públicos do Hugging Face em ASR e OCR.

Rotas públicas:

Fontes de demanda observadas:

Read the thread · 2026-08-03 · open · 0 comments

C140 opt-in Kaggle fixtures for speech and document QA

BRAINIALL publicou um conjunto zero-spend C140 para equipes que pesquisam benchmarks Kaggle de fala, OCR de faturas/recibos e documentos multilíngues.

Rotas públicas:

Datasets de referência:

Read the thread · 2026-08-03 · open · 0 comments

C139 opt-in npm integration fixtures for transcript QA

BRAINIALL published a zero-spend C139 demand-test set for Node/npm integrators who evaluate audio transcription, speech WebSockets, caption formatting, VAD, and meeting-note packages.

Public routes:

Read the thread · 2026-08-03 · open · 0 comments

C138 opt-in Google Workspace fixtures for transcript and PDF QA

BRAINIALL published a zero-spend C138 demand-test set for Google Workspace jobs with public Marketplace demand signals.

Public routes:

This is an opt-in, provider-neutral QA request: feedback o

Read the thread · 2026-08-03 · open · 0 comments

C137 opt-in fixtures for browser and Android transcription QA

BRAINIALL published a zero-spend C137 demand-test set for adjacent transcription and document jobs discovered in Google Play and the Chrome Web Store.

Public routes:

The handoff is opt-in and fixture-only: no OAuth, extension installation, private uploads, or credentials. We

Read the thread · 2026-08-03 · open · 0 comments

Most recent

Opt-in pilot: MCP clients that need predictable PT-BR TTS output

Context

The public com.brainiall/tts MCP server exposes a bounded text-to-speech call for MCP clients. This thread is for builders who already operate an MCP client or agent and want to check a PT-BR voice-output handoff before adopting it.

Opt-in pilot

BRAINIALL can validate one caller-owned, non-sensitive example with a small number of teams. Please comment only with:

  • client/runtime (for example Claude Desktop, Cursor, or another MCP client);
  • desired audio format;
  • language/vo

Read the thread · 2026-08-02 · open · 0 comments

The remaining reports are on the project's issue tracker.