Use Nutrient DWS to extract text from images when the workflow needs OCR-style text output instead of static image files. Start with a cloud image-to-text API built for scanned documents, receipts, forms, and document-understanding workflows.
Use an image-to-text API when the workflow needs OCR-style text output from receipts, scans, forms, screenshots, and other image-based documents.
Use REST, Postman, JavaScript, Python, Java, C#, PHP, or HTTP to automate image-to-text extraction inside search, compliance, and document processing systems.
Connect image-to-text extraction to getting started, pricing, and the broader data extraction hub so teams can validate the right OCR and text-output path quickly.
This example extracts text from an uploaded image file.
Try it out in three steps
document.png to your project folder.result.json to inspect the extracted text output.curl -X POST https://api.nutrient.io/build \ -H "Authorization: Bearer your_api_key_here" \ -o result.json \ --fail \ -F page=@page1.jpg \ -F instructions='{ "parts": [ { "file": "page" } ], "output": { "type": "json-content", "plainText": true, "structuredText": true } }'curl -X POST https://api.nutrient.io/build ^ -H "Authorization: Bearer your_api_key_here" ^ -o result.json ^ --fail ^ -F page=@page1.jpg ^ -F instructions="{\"parts\": [{\"file\": \"page\"}], \"output\": {\"type\": \"json-content\", \"plainText\": true, \"structuredText\": true}}"package com.example.pspdfkit;
import java.io.File;import java.io.IOException;import java.nio.file.FileSystems;import java.nio.file.Files;import java.nio.file.StandardCopyOption;
import org.json.JSONArray;import org.json.JSONObject;
import okhttp3.MediaType;import okhttp3.MultipartBody;import okhttp3.OkHttpClient;import okhttp3.Request;import okhttp3.RequestBody;import okhttp3.Response;
public final class PspdfkitApiExample { public static void main(final String[] args) throws IOException { final RequestBody body = new MultipartBody.Builder() .setType(MultipartBody.FORM) .addFormDataPart( "page", "page1.jpg", RequestBody.create( MediaType.parse("image/jpeg"), new File("page1.jpg") ) ) .addFormDataPart( "instructions", new JSONObject() .put("parts", new JSONArray() .put(new JSONObject() .put("file", "page") ) ) .put("output", new JSONObject() .put("type", "json-content") .put("plainText", true) .put("structuredText", true) ).toString() ) .build();
final Request request = new Request.Builder() .url("https://api.nutrient.io/build") .method("POST", body) .addHeader("Authorization", "Bearer your_api_key_here") .build();
final OkHttpClient client = new OkHttpClient() .newBuilder() .build();
final Response response = client.newCall(request).execute();
if (response.isSuccessful()) { Files.copy( response.body().byteStream(), FileSystems.getDefault().getPath("result.json"), StandardCopyOption.REPLACE_EXISTING ); } else { // Handle the error throw new IOException(response.body().string()); } }}using System;using System.IO;using System.Net;using RestSharp;
namespace PspdfkitApiDemo{ class Program { static void Main(string[] args) { var client = new RestClient("https://api.nutrient.io/build");
var request = new RestRequest(Method.POST) .AddHeader("Authorization", "Bearer your_api_key_here") .AddFile("page", "page1.jpg") .AddParameter("instructions", new JsonObject { ["parts"] = new JsonArray { new JsonObject { ["file"] = "page" } }, ["output"] = new JsonObject { ["type"] = "json-content", ["plainText"] = true, ["structuredText"] = true } }.ToString());
request.AdvancedResponseWriter = (responseStream, response) => { if (response.StatusCode == HttpStatusCode.OK) { using (responseStream) { using var outputFileWriter = File.OpenWrite("result.json"); responseStream.CopyTo(outputFileWriter); } } else { var responseStreamReader = new StreamReader(responseStream); Console.Write(responseStreamReader.ReadToEnd()); } };
client.Execute(request); } }}// This code requires Node.js. Do not run this code directly in a web browser.
const axios = require('axios')const FormData = require('form-data')const fs = require('fs')
const formData = new FormData()formData.append('instructions', JSON.stringify({ parts: [ { file: "page" } ], output: { type: "json-content", plainText: true, structuredText: true }}))formData.append('page', fs.createReadStream('page1.jpg'))
;(async () => { try { const response = await axios.post('https://api.nutrient.io/build', formData, { headers: formData.getHeaders({ 'Authorization': 'Bearer your_api_key_here' }), responseType: "stream" })
response.data.pipe(fs.createWriteStream("result.json")) } catch (e) { const errorString = await streamToString(e.response.data) console.log(errorString) }})()
function streamToString(stream) { const chunks = [] return new Promise((resolve, reject) => { stream.on("data", (chunk) => chunks.push(Buffer.from(chunk))) stream.on("error", (err) => reject(err)) stream.on("end", () => resolve(Buffer.concat(chunks).toString("utf8"))) })}import requestsimport json
response = requests.request( 'POST', 'https://api.nutrient.io/build', headers = { 'Authorization': 'Bearer your_api_key_here' }, files = { 'page': open('page1.jpg', 'rb') }, data = { 'instructions': json.dumps({ 'parts': [ { 'file': 'page' } ], 'output': { 'type': 'json-content', 'plainText': True, 'structuredText': True } }) }, stream = True)
if response.ok: with open('result.json', 'wb') as fd: for chunk in response.iter_content(chunk_size=8096): fd.write(chunk)else: print(response.text) exit()<?php
$FileHandle = fopen('result.json', 'w+');
$curl = curl_init();
curl_setopt_array($curl, array( CURLOPT_URL => 'https://api.nutrient.io/build', CURLOPT_CUSTOMREQUEST => 'POST', CURLOPT_RETURNTRANSFER => true, CURLOPT_ENCODING => '', CURLOPT_POSTFIELDS => array( 'instructions' => '{ "parts": [ { "file": "page" } ], "output": { "type": "json-content", "plainText": true, "structuredText": true } }', 'page' => new CURLFILE('page1.jpg') ), CURLOPT_HTTPHEADER => array( 'Authorization: Bearer your_api_key_here' ), CURLOPT_FILE => $FileHandle,));
$response = curl_exec($curl);
curl_close($curl);
fclose($FileHandle);POST https://api.nutrient.io/build HTTP/1.1Content-Type: multipart/form-data; boundary=--customboundaryAuthorization: Bearer your_api_key_here
--customboundaryContent-Disposition: form-data; name="instructions"Content-Type: application/json
{ "parts": [ { "file": "page" } ], "output": { "type": "json-content", "plainText": true, "structuredText": true }}--customboundaryContent-Disposition: form-data; name="page"; filename="page1.jpg"Content-Type: image/jpeg
(page data)--customboundary--Most common next steps
Use the following:
Get started:
Platform resources:
Nutrient’s infrastructure is SOC 2 Type 2 audited and GDPR-compliant. See our privacy policy and security documentation for details on data handling.
All communication between your application and Nutrient is done via HTTPS to ensure your data is encrypted when it’s sent to us.
All payments are handled by Paddle. Nutrient DWS Processor API never has direct access to any of your payment data.
An image-to-text API lets you extract text from images using optical character recognition (OCR) with a single API call. Nutrient’s DWS Processor API extracts text from receipts, scans, forms, and screenshots without building your own document processing infrastructure.
Send a request to the Nutrient DWS Processor API with your image file and receive the extracted text in the response. You can call it via REST, Postman, curl, JavaScript, Python, Java, C#, PHP, or plain HTTP.
The API supports common image formats such as JPEG and PNG, as well as PDF — so you can extract text from scanned documents, screenshots, and multipage files.
Yes. Sign up to receive processing credits and try image-to-text extraction before choosing a Processor API plan.
Rate limits depend on your Processor API plan. See the Processor API pricing page or REST API reference for throughput and request limits for your tier.
Yes. The Processor API supports batch workflows, so you can automate text extraction across many documents for search, compliance, and data extraction systems.
You can call the API from any language that makes HTTP requests. Nutrient provides examples for JavaScript, Python, Java, C#, and PHP, plus REST and a Postman collection.
Create an account to get your DWS Processor API key and start making API calls.