---
title: "Extract text from a PDF using AI."
method: POST
path: "/api/ai/v2/pdf-extract"
tags: ["AI Services"]
---

# Extract text from a PDF using AI.

`POST /api/ai/v2/pdf-extract`

This endpoint is used to extract text from a PDF using AI. Scanning simultaneously across all pages and with the capability to understand human handwriting, this endpoint can extract text from any PDF.

## Response `200`

Successful response

- object
  - `status` string — Status indicating the success of the PDF Extraction Process. In case you have an error for `multipart/form-data` requests, try removing the `Content-Type` header.
  - `data` string — The converted text.
  - `processing_time` integer — The time taken to process the request, in milliseconds.
  - `processing_id` string — A universally unique identifier for the request. This can be used to track the request in the logs.
  - `processing_count` integer — The number of times the request has been processed. This is what is considered in the Billing Process. This is either the number of times the image is processed or the number of words that the server processes.

## Other responses

- `400` — Bad Request. This mostly happens because of invalid image sizes. Neither `height` nor `width` of the image should be less than 128px. Only one of the sides of the image should be greater than or equal to 512px. (Eg: 512x512, 512x768, 768x512) Maximum dimensions supported is 512x896.
- `401` — Unauthorized
- `404` — Not Found
- `406` — Not Acceptable
- `500` — Internal Server Error

---

[API](https://skmtc.net/worqhat/apis/worqhat-ai-api-endpoints-2.md) · [All operations](https://skmtc.net/worqhat/apis/worqhat-ai-api-endpoints-2/llms.txt) · [OpenAPI document](https://skmtc-service-staging.skmtc.workers.dev/v1/apis/worqhat/worqhat-ai-api-endpoints-2/versions/fc369f69a3e6/schema)