PDF OCR Read API
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Extract and read text content from scanned PDF documents with our advanced OCR API. Convert image-based pages into structured, readable text with high accuracy recognition. Perfect for data extraction, content analysis, and automating digitization workflows for documents that lack selectable text.
Claude, ChatGPT, Cursor or your own agent can call
read-pdf-content-with-ocr directly.
Benefits of our PDF OCR Read API
Effortlessly extract text from scanned documents with our comprehensive OCR Read API.
Retrieve clean, structured text from image-based PDFs page by page, making it ready for
analysis, indexing, or data processing. Whether you're digitizing invoices, extracting
information from archived records, or automating data entry from scanned forms, our API
provides accurate text recognition that transforms inaccessible images into actionable data.
Read our API documentation to learn how to extract text from scanned PDFs.
Multi-language Code Example
curl -X POST https://apdf.io/api/pdf/ocr/read \
-H "Authorization: Bearer TOKEN" \
-d file="FILE_URL"const data = new FormData();
data.append('file', 'FILE_URL');
fetch('https://apdf.io/api/pdf/ocr/read', {
headers: {'Authorization': 'Bearer TOKEN'},
method: 'POST',
body: data
})
.then(response => response.json())
.then(json => console.log(json));use GuzzleHttp\Client;
$client = new Client();
$response = $client->post(
'https://apdf.io/api/pdf/ocr/read', [
'headers' => [
'Authorization' => 'Bearer TOKEN'
],
'form_params' => [
'file' => 'FILE_URL'
]
]);
$body = $response->getBody();
echo json_encode($body->getContents());require 'rest-client'
response = RestClient.post(
'https://apdf.io/api/pdf/ocr/read',
{
'file' => 'FILE_URL'
},
{
Authorization: "Bearer TOKEN"
}
)
puts response.bodyimport requests
response = requests.post(
'https://apdf.io/api/pdf/ocr/read',
headers = {
'Authorization': 'Bearer TOKEN'
},
data = {
'file': 'FILE_URL'
}
)
print(response.text)import (
"fmt"
"github.com/go-resty/resty/v2"
)
func main() {
client := resty.New()
data := map[string]string{
"file": "FILE_URL"
}
resp, _ := client.R().
SetFormData(data).
SetHeader("Authorization", "Bearer TOKEN").
Post("https://apdf.io/api/pdf/ocr/read")
fmt.Println(resp.String())
}import okhttp3.*;
class Pdf {
public static void main(String[] args) throws Exception {
OkHttpClient client = new OkHttpClient();
FormBody formBody = new FormBody.Builder()
.add("file", "FILE_URL")
.build();
Request request = new Request.Builder()
.url("https://apdf.io/api/pdf/ocr/read")
.addHeader("Authorization", "Bearer TOKEN")
.post(formBody)
.build();
Response response = client.newCall(request).execute();
System.out.println(response.body().string());
}
}No-Code OCR Text Extraction
Integrate our PDF API with Zapier Webhooks to automate your OCR text extraction workflows effortlessly. Whether you're processing scanned invoices, extracting data from forms, or digitizing paper archives, you can trigger OCR text extraction from hundreds of apps supported by Zapier. Automatically convert image-based content into structured text data, enabling seamless data analysis and eliminating time-consuming manual transcription.
OCR and text extraction tutorials
OCR Scanned PDFs by Asking Claude
That folder of scans — old leases, signed contracts, photographed paperwork — becomes searchable conversationally: Claude checks the text layer, runs the OCR job through the Apdf MCP tools, and answers questions from the recovered text with page-level receipts.
Extract Text from Scanned Invoices for Automated Data Entry
Automate data entry from scanned invoices and receipts using Node.js and the Apdf OCR Read API. Extract vendor names, invoice numbers, and totals from image-based PDFs and feed them directly into your accounting system.
Convert Scanned PDFs to Searchable Documents with Python
Transform image-based scanned PDFs into fully searchable documents using Python and the Apdf OCR API. Perfect for digitizing paper archives, enabling text selection, and making legacy documents ready for modern search systems.
Your code made the PDF.
Then it went dark.
Opened, read, re-read, dropped on page 4 — you never see any of it. Share the PDFs you generate through Apdf recipient links, and every signal becomes something you can act on: ping Slack, update the CRM, let an agent follow up. Same account, same API token, one more call.
API · Webhook · MCP