Text-to-speech read-aloud for manuscripts using free open-source Piper TTS with natural-sounding voices
Turn your manuscript into speech using free, open-source text-to-speech. Hear your prose the way a reader would — because the ear catches what the eye misses.
Every professional editor will tell you: read your work aloud. It reveals:
This skill automates that process with natural-sounding AI voices.
AuthorClaw uses Piper TTS — a fast, free, open-source text-to-speech engine:
# Install Piper (included in AuthorClaw setup wizard)
pip install piper-tts
# Download a voice model (~100MB each)
# AuthorClaw will prompt you to pick one on first use
Read an entire chapter from your project:
read chapter 7
workspace/audio/Read a specific passage:
read aloud [paste or select text]
Reads with distinct pausing for dialogue vs. narration:
Reads slowly with pauses between paragraphs:
A structured process for audio-based revision:
Ear-Edit Report: Chapter 7
───────────────────────────
Duration: 18:42
Flags: 6
Flag 1 — 02:14 (Paragraph 4)
"She walked through the door and walked across the room and sat down."
Issue: Triple action chain, repeated "walked"
Suggestion: Vary the verbs, combine actions
Flag 2 — 05:38 (Paragraph 11)
"The simultaneously spectacular and spectacularly simultaneous..."
Issue: Tongue-twister / consonant cluster
Suggestion: Simplify
[... remaining flags ...]
Generate audio files from your manuscript:
Useful for:
read aloud — Read selected/pasted textread chapter [number] — Read a full chapterread dialogue [chapter] — Read with dialogue emphasisear edit [chapter] — Start an ear-edit revision sessionexport audio [chapter/all] — Generate audio filesset voice [voice-name] — Change the TTS voicelist voices — Show available voice modelsread speed [slow/normal/fast] — Adjust reading speed