V0.1 · Architecture & service documentation
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Experiments / SERVICE DOCUMENTATION

Kokoro TTS

A text-to-speech API used to explore a self-hosted inference service.

V0.1 · Reviewed 29 October 2026Documentation snapshot · Not live status

01 / THE ROLE

In this lab.

Kokoro runs as a CPU-oriented API container in the application environment. It provides a useful example of a workload whose meaningful acceptance check is an API function rather than a website homepage. Public examples use synthetic text and no real user audio.

02 / THE CONNECTIONS

Follow the flow.

Kokoro TTS · simplified flowSimplified flow
  1. STEP 01Text request
  2. STEP 02API validation
  3. STEP 03Speech synthesis
  4. STEP 04Audio response

03 / How it works

How it works.

A client submits text to the appropriate API route and receives the synthesis result. The documentation interface and the inference route serve different purposes. An HTTP not-found response at the root can be expected for an API service and should not automatically be interpreted as an outage.

04 / Persistent data & recovery

Persistent data & recovery.

Classify models, runtime configuration and any intentionally retained generated files. A reproducible model download and unique user-generated audio have different recovery value. The current public guide does not assume that output audio is durably retained by the service.

05 / How to check it

How to check it.

The documented web probe checks the API documentation endpoint. A complete functional test would submit neutral text and verify an audio result with reasonable latency. That synthesis test has not been established by the recorded frontend check alone.

06 / Decisions & limits

Decisions & limits.

API workloads need checks that reflect their actual contract. A convenient documentation page is helpful for navigation, but it is not evidence of successful inference.

KEEP EXPLORING

Related parts of the lab.