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persian_tts

Persian text-to-speech with voice cloning, fully offline on CPU (ONNX + torch paths)

Details

External ID
1373301457
Source
GITHUB
Company
—
Product
persian_tts
Website domain
github.com
Launched
Sept. 16, 2026
Cohort
—
Upvotes
125
Upvotes percentile
0.9403663848321804
Tags
—
Fetched at
Sept. 20, 2026, 5:44 p.m.
Updated at
Sept. 20, 2026, 5:44 p.m.

Enrichment

Theme
voice AI agents and infrastructure
Vertical
Horizontal
Function
Content generation
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
offline persian text to speech and voice cloning for cpu
Manually corrected
False

Could you build this?

Partial Packaging and running ONNX/PyTorch models offline is vibe-codeable, but training or adapting an accurate Persian voice-cloning TTS model requires specialized phoneme datasets and audio ML expertise.

What it would actually take: A complete system relies on an acoustic model (like VITS or FastSpeech 2) and a neural vocoder (HiFi-GAN) adapted for Persian phonology with zero-shot voice cloning capabilities. While an AI assistant can build the CLI and ONNX Runtime wrapper, creating the pipeline requires a curated multi-speaker Persian speech dataset, custom text normalization/grapheme-to-phoneme (G2P) rules for Farsi, and PyTorch training infrastructure.

Competitors

Other products that read as similar to this one — 600 launches clear the similarity bar, closest 8 shown.

Attention rank: #30 of 601 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 321 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a content generation tool for Government yet.