- Brand
- Unknown
- Category
- Pending
- Primary Subcategory
- Pending
Integration details
Description
Fontesh is a font identification tool for designers and content creators who work with Persian and Arabic-script text. Attach an image that contains Persian text, such as a poster, social media post, logo or screenshot, and ask Fontesh which font it uses. Fontesh detects the text in the image, matches it against its font catalog and shows the closest fonts in an interactive preview card. What you can do: • Identify the font in an image and see the closest matches. • Compare matches in previews rendered with the actual font files. • Type your own sample text and refresh the previews. • Open each font's license link before you use it. • Mark a result as correct or wrong to help improve recognition. You can try a few images as a guest; after that, sign in with a Fontesh account to continue. Fontesh focuses on Persian fonts. It does not edit or generate images and does not create new fonts.
- Integration type
- Plugin
- Verification status
- Not applicable
- Platform
- ChatGPT
- Category
- Pending
- Primary Subcategory
- Pending
- Secondary Subcategories
- None listed
- Brand
- Unknown
- Access
- Account optional
- First tracked
- 2026-10-31
- Tool count
- 3
- Market
- US
The broad Category that contains the Primary Subcategory.
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
Your score is coming
ChatGPT now suggests Plugins on its own when they match a user's request.Your Plugin Discovery Score measures how often yours appears, and it will show here as soon as it’s ready.
What discovery looks like

Get alerts for Fontesh
Get updates when Fontesh’s Discoverability Score or category rank changes.
Competitive lineup
3 tools agents can invoke
Fontesh ChatGPT Plugin FAQ
How the directory, categories and Discoverability Score work.
Read the methodologyHow do I improve Fontesh's ChatGPT Plugin discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.