dragon-okinawa/docling-ocr-pdf – Run with an API on Replicate

dragon-okinawa / docling-ocr-pdf

docling-ocr-pdf model leverages Docling's document parsing to perform OCR on various document formats, streamlining text extraction for AI tasks

Cold

Public
65 runs
L40S
GitHub
License

Iterate in playground

Run with an API

Playground API Examples README Versions

Input

Run this model in Node.js with one line of code:

npx create-replicate --model=dragon-okinawa/docling-ocr-pdf

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run dragon-okinawa/docling-ocr-pdf using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "dragon-okinawa/docling-ocr-pdf:26632288fc0a29e51b1ca75b6ad9fd00d1fe6f14bd1add083eb4d0ec96ceec3d",
  {
    input: {
      timeout: 120,
      to_format: "md",
      from_format: "any"
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run dragon-okinawa/docling-ocr-pdf using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "dragon-okinawa/docling-ocr-pdf:26632288fc0a29e51b1ca75b6ad9fd00d1fe6f14bd1add083eb4d0ec96ceec3d",
    input={
        "timeout": 120,
        "to_format": "md",
        "from_format": "any"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run dragon-okinawa/docling-ocr-pdf using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "dragon-okinawa/docling-ocr-pdf:26632288fc0a29e51b1ca75b6ad9fd00d1fe6f14bd1add083eb4d0ec96ceec3d",
    "input": {
      "timeout": 120,
      "to_format": "md",
      "from_format": "any"
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

No output yet! Press "Submit" to start a prediction.

Run time and cost

This model runs on Nvidia L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

The docling-ocr-pdf model utilizes the document processing capabilities from the Docling project to perform Optical Character Recognition (OCR) on a variety of document formats, including but not limited to PDFs.

It enables efficient document preprocessing, making textual data ready for generative AI tasks.