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Select a PDFfrom your computer, or just drag and drop into the upload box.
Convert to JSON
Our PDFto JSON converter automatically recognizes content in your PDF and converts it into JSON.
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Download your converted JSON file within seconds. No signup required.
Take Nanonets for a Spin
Pull a ready to use OCR API for common document types. Create and setup your own custom OCR API for any new document type in less than 30 minutes.
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Invoices
10M+ processed
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Receipts
8M+ processed
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Purchase Orders
11,22,400 processed
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Real Estate Docs
5M+ processed
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Bank Statements
5M+ processed
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Bill of Lading
4M+ processed
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Tables / SKU
3M+ processed
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use cases
Try Nanonets Workflows for PDF to JSON
Automatically sync data into other business applications. No code, no complex migrations.
How we compare
Why users love our PDFto JSONconverter
Traditional OCR Tools
Data Formatting
High savings
Nil or low training data
High training data
High Cost, Time Consuming
Receive documents from multiple channels
Amount of training data needed
Self-learning AI
No Template setup required
IT / API friendly
Multiple export options
Cost and Time Savings
We are impressed with the intelligence in the product when it comes to data extraction. This opens up for many new areas where we can help our customers, like detection of fraud. We have been having a tight and transparent dialogue with Nanonets. Our customers are very pleased with the product as well as the technical support we together with Nanonets have been able to provide.
Per Defalva
Founder, DigitalEngine (Sweden), ex-CIO PwC Sweden
we’re trusted by Developers across the world
Integrate in less than 30 seconds
Easy to integrate
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import requestsimport base64url = "https://app.nanonets.com/api/v2/OCR/FullText"payload={'urls': ['MY_IMAGE_URL']}files=[ ('file',('FILE_NAME',open('FILE_PATH','rb'),'application/pdf'))]headers = {}response = requests.request("POST", url, headers=headers, data=payload, files=files, auth=requests.auth.HTTPBasicAuth('REPLACE_API_KEY', ''))print(response.text)
var axios = require('axios');var FormData = require('form-data');var fs = require('fs');var data = new FormData();data.apend('urls','FILE_URL')data.append('file', fs.createReadStream('FILE_PATH'));var config = { method: 'post', url: 'https://app.nanonets.com/api/v2/OCR/FullText', headers: { 'Authorization': 'Basic ' + Buffer.from("REPLACE_API_KEY" + ":").toString('base64'), ...data.getHeaders() }, data : data};axios(config).then(function (response) { console.log(JSON.stringify(response.data));}).catch(function (error) { console.log(error);});
var axios = require('axios');var FormData = require('form-data');var fs = require('fs');var data = new FormData();data.apend('urls','FILE_URL')data.append('file', fs.createReadStream('FILE_PATH'));var config = { method: 'post', url: 'https://app.nanonets.com/api/v2/OCR/FullText', headers: { 'Authorization': 'Basic ' + Buffer.from("REPLACE_API_KEY" + ":").toString('base64'), ...data.getHeaders() }, data : data};axios(config).then(function (response) { console.log(JSON.stringify(response.data));}).catch(function (error) { console.log(error);});
var client = new RestClient("https://app.nanonets.com/api/v2/OCR/FullText");client.Timeout = -1;var request = new RestRequest(Method.POST);request.AddHeader("Authorization", "Basic " + Convert.ToBase64String(Encoding.Default.GetBytes("REPLACE_YOUR_API_KEY:")));request.AddFile("file", "FILE_PATH");IRestResponse response = client.Execute(request);Console.WriteLine(response.Content);
curl --location --request POST 'https://app.nanonets.com/api/v2/OCR/FullText' \-u 'REPLACE_API_KEY:' \--form 'file=@"FILE_PATH"'
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Once you create your account, click on My Account > API Keys to get your key. This key will allow you to authenticate API requests.
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Frequently Asked Questions
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Key Features
User-friendly online OCR interface
Convert .jpg, .bmp, .png or .PDFs to text
No registration or signup needed
Free, low latency OCR API with unlimited requests
State of the art OCR accuracy - best in class
Supports 42+ languages for text recognition
Secure conversion - all data is removed
Over 1 billion requests processed
