Tools/Markdown to Speech Audio Reader
Apache 2.0 Open-Source AI Voice Engine

Markdown to Speech Audio Reader

Turn README files, architecture RFCs, and technical docs into clear spoken audio. Automatically strips noisy code fences and formatting.

Articulate US male, technical tutorials

1.00x
0.50x (Slow)1.00x (Normal)2.00x (Fast)
Max 500 characters per synthesis batch.
434 / 500 chars
Free Quota: 5 left today

Under the Hood: Open-Source Kokoro-82M on Modern CPU Architecture

Most commercial text-to-speech services run massive multi-billion parameter transformer models that require dedicated NVIDIA H100 or A100 GPU clusters. This creates expensive billing tiers, token pricing, and subscription gates that shut out self-taught developers, students, and bootstrapped creators.

Kokoro-82M changes the economics entirely. By condensing speech synthesis into an 82 million parameter architecture exported to ONNX runtime, it synthesizes studio-grade audio directly on CPU hardware (including Arm64 Ampere processors). Our Dropout Developer deployment runs on an Always Free Oracle Cloud VM, with disk-level sentence caching (ADR-038) storing SHA-256 hashes of synthesized text to return repeat queries in less than 15 milliseconds.

01

Zero Paywall Policy

Generate voice clips and download uncompressed WAV files with no credit card and no mandatory subscriptions.

02

Disk Sentence Caching

Synthesized phrases are cached by voice and speed hash. Repeat requests load instantly without burning server CPU cycles.

03

Developer API Access

Integrate voice into scripts, automation bots, and web applications using standard OpenAI audio SDK calls.

Frequently Asked Questions