#1 AI-Powered OCR API & Platform for Automated Data Extraction

Efficient, Accurate, and Secure

AI Data Extraction

Automate document data extraction easily with our AI-powered OCR solution, offered as a no-code platform or API integration.
Save time, reduce errors, and optimize workflows with 99.8% accuracy.

99.8% accuracy rate
No-code platform
Enterprise-grade security
No credit card required

See how Document OCR works on all types of business documents

Intelligent OCR Text Recognition with Accuracy Beyond Human Capabilities

Achieve 99.8% data extraction accuracy

Extract data with near-perfect precision with only 1 error in 10,000 documents while eliminating manual verification.

Reduce document processing time by 80%

Extract precise data from each document in just 0.5 to 4 seconds, saving valuable minutes.

Slash Operational Costs by 75%

Cut labor and processing costs while efficiently managing 4x more documents with the same resources.

Powerful OCR with AI-Based Data Extraction for Documents and Images

Smart data extraction

Leverage AI-powered smart data extraction to effortlessly handle unformatted documents. Our fully automated system handles everything—from parsing and validating to extracting data accurately with up to 99.8% precision.

“Process 1000 of our PDF files within seconds and without any errors. Simply amazing solution all around.”

Jamie Lynn | Account Executive

Customizable data fields & labels

Simplify document extraction with customizable data fields and labels tailored to your needs. Whether you want us to handle the entire extraction process or select specific fields, we’ve got you covered.

“The ready-to-use template is great! Appreciate the flexibility for labels and data fields.”

Steve Bricks | Email Marketer

Any Doc, Any Language

Effortlessly extract data from images and documents in any language. Our OCR system supports over 95 languages and processes various input types, including PDFs, images, screenshots, scans, and more, making it ideal for global businesses

“It’s amazing. They actually can read our data from all type of forms.”

Jacob Petterson | HR Executive

Ready-to-use data output

Receive extracted data in structured formats such as JSON, XLS, or CSV, ready for seamless integration with databases, analytics tools, or other applications.

“Super happy with the output options. Save us tons of time since we can send the pulled data to our CRM, ERP, as well as our database directly. This is true automation. ”

Rose | Account Executive

No-code Platform

Interact with our solution effortlessly through simple clicks. No coding or complex configurations required unless you want to.

“I’ve been an accountant for 30 years and this app has help me out immensely. I don’t understand fully how they do it but it only takes a few set up to have the results I want.”

Amber Taylor| Account Executive

Intelligent Document Processing with AI-Powered OCR: Accurate, Flexible, and Secure

Document Processing That Actually Works

Industry-leading accuracy on complex documents, or we’ll credit your next batch. Built to handle your most challenging formats.

Benny Wilson

Mid-Market
(51-1000 emp.)

Great tools, even better service. Take me 5 minutes to set up and we’re more than happy with the results.

Simple, Flexible Plans

Flexible monthly plans with clear volume tiers. Choose what fits your needs, from Start to Enterprise scale.

Lucas I

Small-Business
(50 or fewer emp.)

Best of class OCR with great price. We could’ve spent a fortune on extracting the holiday sales invoice.

Your Data Stays Confidential, Always

Enterprise-level security protocols. Automatic data purge. Your data is never used to train our models.

Selena

Enterprise (>1000 emp.)

The app is super upfront about their data confidentiality policy. We don’t need to worry that our private information of customers floating around the Internet since the app deletes them immediately!

How Our AI-powered OCR Works in 4 Easy Steps

Upload
Upload any file or data from mail attachments to scanned documents. Our AI-powered OCR receives the rest.

Supported formats include: jpg, png, gif, jpeg, tiff, webp, and more.
Extract
Our advanced AI-Powered OCR analyses and extracts data from documents without relying on templates.
Validate
Use AI-powered engine validates data flags any missing or questionable information, ensuring you to enhance data accuracy and without worry.
Export
Forward structured data to your CRM, ERP, application or database directly with the API integration.
OCR Process Illustration

The easiest AI-powered OCR API to use

Once you sign up with a bussiness email, click on My Account > API Keys to get your key.
This key will allow you to authenticate API requests.

import java.io.*;
import java.net.*;
import org.json.*;

public class DocAIOCR {
  private static final String API_KEY = "your_api_key_here";
  private static final String API_URL = "https://api.docai.com/v1/ocr";

  public static void main(String[] args) {
    try {
      File file = new File("invoice.pdf");
      String result = processOCR(file);
      System.out.println("Extracted Data: " + result);
    } catch (Exception e) {
      e.printStackTrace();
    }
  }

  public static String processOCR(File file) throws Exception {
    HttpURLConnection conn = (HttpURLConnection) new URL(API_URL).openConnection();
    conn.setRequestMethod("POST");
    conn.setRequestProperty("Authorization", "Bearer " + API_KEY);
    conn.setDoOutput(true);
    
    // Upload file and get response
    return "JSON Response";
  }
}
package main

import (
  "bytes"
  "encoding/json"
  "fmt"
  "io"
  "mime/multipart"
  "net/http"
  "os"
)

const (
  apiKey = "your_api_key_here"
  apiURL = "https://api.docai.com/v1/ocr"
)

type OCRResponse struct {
  FileName      string `json:"file_name"`
  ExtractedData map[string]interface{} `json:"extracted_data"`
}

func processOCR(filePath string) (*OCRResponse, error) {
  file, err := os.Open(filePath)
  if err != nil {
    return nil, err
  }
  defer file.Close()

  body := &bytes.Buffer{}
  writer := multipart.NewWriter(body)
  part, _ := writer.CreateFormFile("file", filePath)
  io.Copy(part, file)
  writer.Close()

  req, _ := http.NewRequest("POST", apiURL, body)
  req.Header.Set("Authorization", "Bearer "+apiKey)
  req.Header.Set("Content-Type", writer.FormDataContentType())

  client := &http.Client{}
  resp, err := client.Do(req)
  if err != nil {
    return nil, err
  }
  defer resp.Body.Close()

  var result OCRResponse
  json.NewDecoder(resp.Body).Decode(&result)
  return &result, nil
}

func main() {
  result, err := processOCR("invoice.pdf")
  if err != nil {
    fmt.Println("Error:", err)
    return
  }
  fmt.Printf("Extracted Data: %+v\n", result)
}
const axios = require('axios');
const FormData = require('form-data');
const fs = require('fs');

const API_KEY = 'your_api_key_here';
const API_URL = 'https://api.docai.com/v1/ocr';

async function processOCR(filePath) {
  try {
    const form = new FormData();
    form.append('file', fs.createReadStream(filePath));

    const response = await axios.post(API_URL, form, {
      headers: {
        'Authorization': `Bearer ${API_KEY}`,
        ...form.getHeaders()
      }
    });

    console.log('Extracted Data:', response.data);
    return response.data;
  } catch (error) {
    console.error('Error processing OCR:', error.message);
    throw error;
  }
}

// Usage
processOCR('invoice.pdf')
  .then(data => console.log('Success:', data))
  .catch(err => console.error('Failed:', err));
<?php

define('API_KEY', 'your_api_key_here');
define('API_URL', 'https://api.docai.com/v1/ocr');

function processOCR($filePath) {
  if (!file_exists($filePath)) {
    throw new Exception("File not found: $filePath");
  }

  $ch = curl_init();
  
  $cfile = new CURLFile($filePath, mime_content_type($filePath), basename($filePath));
  
  $data = [
    'file' => $cfile
  ];

  curl_setopt_array($ch, [
    CURLOPT_URL => API_URL,
    CURLOPT_POST => true,
    CURLOPT_POSTFIELDS => $data,
    CURLOPT_RETURNTRANSFER => true,
    CURLOPT_HTTPHEADER => [
      'Authorization: Bearer ' . API_KEY
    ]
  ]);

  $response = curl_exec($ch);
  $httpCode = curl_getinfo($ch, CURLINFO_HTTP_CODE);
  
  curl_close($ch);

  if ($httpCode === 200) {
    return json_decode($response, true);
  } else {
    throw new Exception("API Error: $response");
  }
}

// Usage
try {
  $result = processOCR('invoice.pdf');
  echo "Extracted Data:\n";
  print_r($result);
} catch (Exception $e) {
  echo "Error: " . $e->getMessage();
}

?>
import requests
import json

API_KEY = 'your_api_key_here'
API_URL = 'https://api.docai.com/v1/ocr'

def process_ocr(file_path):
  """
  Process OCR on a document using DocAI API
  
  Args:
    file_path (str): Path to the document file
    
  Returns:
    dict: Extracted data from the document
  """
  headers = {
    'Authorization': f'Bearer {API_KEY}'
  }
  
  with open(file_path, 'rb') as file:
    files = {
      'file': (file_path, file, 'application/pdf')
    }
    
    try:
      response = requests.post(API_URL, headers=headers, files=files)
      response.raise_for_status()
      
      result = response.json()
      return result
      
    except requests.exceptions.RequestException as e:
      print(f'Error processing OCR: {e}')
      raise

# Usage
if __name__ == '__main__':
  try:
    data = process_ocr('invoice.pdf')
    print('Extracted Data:')
    print(json.dumps(data, indent=2))
  except Exception as e:
    print(f'Failed to process document: {e}')
require 'net/http'
require 'uri'
require 'json'

API_KEY = 'your_api_key_here'
API_URL = 'https://api.docai.com/v1/ocr'

def process_ocr(file_path)
  uri = URI.parse(API_URL)
  
  File.open(file_path, 'rb') do |file|
    request = Net::HTTP::Post.new(uri)
    request['Authorization'] = "Bearer #{API_KEY}"
    
    boundary = "-----------RubyMultipartBoundary"
    request['Content-Type'] = "multipart/form-data; boundary=#{boundary}"
    
    post_body = []
    post_body << "--#{boundary}\r\n"
    post_body << "Content-Disposition: form-data; name=\"file\"; filename=\"#{File.basename(file_path)}\"\r\n"
    post_body << "Content-Type: application/pdf\r\n\r\n"
    post_body << file.read
    post_body << "\r\n--#{boundary}--\r\n"
    
    request.body = post_body.join
    
    response = Net::HTTP.start(uri.hostname, uri.port, use_ssl: true) do |http|
      http.request(request)
    end
    
    if response.code == '200'
      JSON.parse(response.body)
    else
      raise "API Error: #{response.body}"
    end
  end
end

# Usage
begin
  result = process_ocr('invoice.pdf')
  puts "Extracted Data:"
  puts JSON.pretty_generate(result)
rescue StandardError => e
  puts "Error: #{e.message}"
end
using System;
using System.IO;
using System.Net.Http;
using System.Net.Http.Headers;
using System.Threading.Tasks;
using Newtonsoft.Json;

namespace DocAIOCR
{
  public class OCRClient
  {
    private const string API_KEY = "your_api_key_here";
    private const string API_URL = "https://api.docai.com/v1/ocr";

    public static async Task<string> ProcessOCR(string filePath)
    {
      using (var client = new HttpClient())
      {
        client.DefaultRequestHeaders.Authorization = 
          new AuthenticationHeaderValue("Bearer", API_KEY);

        using (var form = new MultipartFormDataContent())
        {
          var fileContent = new ByteArrayContent(
            File.ReadAllBytes(filePath)
          );
          fileContent.Headers.ContentType = 
            MediaTypeHeaderValue.Parse("application/pdf");
          
          form.Add(fileContent, "file", Path.GetFileName(filePath));

          var response = await client.PostAsync(API_URL, form);
          response.EnsureSuccessStatusCode();

          var result = await response.Content.ReadAsStringAsync();
          return result;
        }
      }
    }

    public static async Task Main(string[] args)
    {
      try
      {
        var result = await ProcessOCR("invoice.pdf");
        Console.WriteLine("Extracted Data:");
        
        var formatted = JsonConvert.DeserializeObject(result);
        Console.WriteLine(
          JsonConvert.SerializeObject(formatted, Formatting.Indented)
        );
      }
      catch (Exception ex)
      {
        Console.WriteLine($"Error: {ex.Message}");
      }
    }
  }
}

Get your free API Key

Once you sign up with a bussiness email, click on My Account > API Keys to get your key.
This key will allow you to authenticate API requests.

    Intelligent OCR for All Document Types

    Say goodbye to manual entry! Our AI-powered OCR transforms any business documents into valuable and actionable data.

    Logistic documents

    Transform data from delivery notes, shipping labels, and more into searchable text for seamless management.

    Financial documents

    Convert balance sheets, income statements, cash flow statements, and more into structured, actionable data.

    Identity document

    Automate the extraction of identity information from various ID formats, saving time and effort.

    Legal document

    Streamline the discovery process by extracting all necessary data from diverse legal sources.

    HR documents

    Effortlessly build your HR database with employee data extracted and organized intelligently.

    Medical documents

    Looking for something else? Explore our pre-trained models for a wider variety of document types.

    Logistic documents

    Transform data from delivery notes, shipping labels, and more into searchable text for seamless management.

    Other documents

    Looking for something else? Explore our pre-trained models for a wider variety of document types.

    Practical Use Cases for Intelligent OCR Data Extraction

    Say goodbye to manual entry! Our AI-powered OCR transforms any business documents into valuable and actionable data.

    Receipt data extraction

    Extract key accounts payable fields from invoices and billing documents, regardless of format or quality. Automate your workflows and eliminate manual processing!

    Invoice data extraction

    Extract data from receipts of any format and quality, including phone-captured images, scanned documents, and digital PDFs. We can process them all seamlessly!

    Purchase order data extraction

    Extract items, types, pricing, and more from purchase orders effortlessly. Gain valuable insights into your customers’ purchasing behavior with ease!

    Driving License data extraction

    Extract crucial information for identity verification from large volumes of driving licenses in real-time, ensuring high accuracy and significant cost savings.

    ID Card data extraction

    Streamline customer onboarding, prevent fraud, and cut manual verification costs with our ID card processing solution.

    Passport data extraction

    Extract identity information from passports worldwide, regardless of language or layout, in just seconds.

    Practical Use Cases for Intelligent OCR Data Extraction

    Our AI-Powered OCR supports JPG, PNG, and PDF inputs, recognizing 100+ document types, 50+ pre-trained data fields and support custom data fields. Output is provided in JSON format for easy integration, including fields like:

    Merchant name

    Address

    Phone number

    Chamber of Commerce ID

    Logo

    VAT Number

    Product name

    Transaction number

    Invoice date

    Discounts

    Language

    Tax amount

    Total amount

    Place of birth

    Location of issue

    Social security number

    44,000 ORDERS

    from affiliates & influencers

    We manage influencer sales via screenshots and images, and it used to take days to tally orders. With this converter, I processed 44,000 orders from affiliates & influencers in no time. It has completely transformed our reporting workflow.

    Shaun Moore, Business Analyst

    44,000 ORDERS

    from affiliates & influencers

    We manage influencer sales via screenshots and images, and it used to take days to tally orders. With this converter, I processed 44,000 orders from affiliates & influencers in no time. It has completely transformed our reporting workflow.

    Shaun Moore, Business Analyst

    FAQs

    Frequently asked question

    Find quick solutions to common queries and get the most out of your learning experience

    There are various software tools for data extraction including Python libraries, specialized ETL tools, and custom solutions depending on your specific needs and data sources.

    Data extraction allows you to consolidate that information into a centralized system in order to unify multiple data sets.

    Yes, Excel can be used for basic data extraction tasks, though it has limitations compared to specialized tools.

    There are many free tools available including Python libraries, open-source ETL tools, and free tiers of commercial products.

    OCR technology can process various document types including scanned images, PDFs, and photos.

    Most systems support CSV, Excel, PDF, JSON, XML, and common image formats.

    Modern AI-powered OCR can read clear handwriting, though accuracy varies based on quality.