Understand the project
Practical overview
When it fits
Use 2Txt for a focused image-to-text task, or consult its repository when setting up the application for local development.
Who it is for
- People who need text derived from an image.
- Developers exploring or working on an image-to-text web application.
Documented uses
- Convert an image into text.
- Set up the project locally for development.
Before you choose
Requirements & limits
- The repository documents a Vercel AI Gateway key for development and an alternative Vercel OIDC setup for a linked project.
- The README names GPT 5-nano as the model used by the application.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Source-based practical guide
Set up 2Txt for local development
Prepare the repository and start its development server.
Before you start
- A Vercel AI Gateway API key, or a Vercel OIDC token through a linked Vercel project.
- pnpm.
Steps
Clone the 2Txt repository.
Create a .env.local file and set AI_GATEWAY_API_KEY to your Vercel AI Gateway key; alternatively, link a Vercel project with vercel link and pull environment variables with vercel env pull.
Install dependencies with pnpm install.
Start the development server with pnpm dev.
Expected outcome
The documented development server starts for local work on 2Txt.
Guide limitations
- The README does not provide further instructions for using the application or describe a deployment sequence.
Evidence and transparency
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 17 October 2026
- Original website title
- ai-ng/2txt · Official homepage title · retained in its source language