PDFs aren't API-friendly
Applications need structured JSON, not PDF files. The converter transforms table data into arrays of objects with consistent keys.
PDF → JSON · 100% local
Extract structured data from PDF tables and export as JSON. Perfect for APIs, applications, and data pipelines. No uploads, no registration — all local processing.
Drop your PDF here
or click to browse — tables are detected automatically
Supports text-based and scanned PDFs up to 50MB
Need to extract tables from live web pages? Try the Table Extractor extension.
Get the extensionThe structured data gap
PDF tables are visual. JSON is structured. BAngleTools transforms PDF table data into clean JSON objects that applications can consume directly.
Applications need structured JSON, not PDF files. The converter transforms table data into arrays of objects with consistent keys.
Reading a PDF table and typing it into JSON by hand introduces errors. The tool extracts data programmatically with consistent structure.
Most online PDF-to-JSON converters send your file to a server. BAngleTools processes everything in your browser — your data stays private.
Output includes table index, page number, row count, column count, and all row data as nested arrays. Clean, parseable, and well-documented.
Review the extracted data in the preview and fix any cells before downloading. Ensure data quality before feeding it to your application.
JSON is language-agnostic. Use the output in JavaScript, Python, Java, Go, or any programming language that parses JSON.
How it works
BAngleTools PDF to JSON converter parses your PDF using Mozilla's pdf.js engine inside a Web Worker. It reads the text layer with positional data, groups text items into rows, detects column boundaries, and outputs the result as a structured JSON document.
The JSON output includes metadata for each table: table index, source page number, row count, and column count. Each table's rows are represented as arrays of string arrays, making it easy to parse in any programming language.
All processing happens locally in your browser. Your PDF file is never uploaded to any server, making this tool suitable for sensitive documents that should not be shared with third-party services.
Who uses this
Extract data from PDF reports and convert to JSON for use in REST APIs, GraphQL resolvers, or microservice data sources.
Convert legacy PDF data into JSON format for migration into modern databases like MongoDB, Elasticsearch, or DynamoDB.
Feed PDF table data into JavaScript applications, dashboards, or reporting tools that expect JSON input.
Extract training data from PDF documents into JSON format for preprocessing in Python, TensorFlow, or PyTorch pipelines.
Convert weekly or monthly PDF reports into JSON for automated dashboard updates and business intelligence workflows.
Extract tabular configuration data from PDF specifications and convert to JSON config files for software systems.
Step by step
FAQ
Yes, BAngleTools PDF to JSON converter is completely free with no usage limits, no registration, and no watermarks. You can convert as many PDFs as you want.
Yes. All processing happens entirely in your browser using JavaScript Web Workers. Your PDF file is never uploaded to any server. The tool is safe for sensitive documents.
The output is a JSON array where each element represents a table with fields: tableIndex, page (source page number), rowCount, colCount, and rows (array of string arrays). This structure is easy to parse in any programming language.
Yes. The preview shows the extracted table with editable cells. Click any cell to correct values or fix column alignment before downloading the JSON file.
Yes. All detected tables across all pages are included in the JSON output. Each table is a separate array element with its own metadata.
Yes. The output is valid JSON with 2-space indentation for readability. It passes JSON validation in all standard parsers including JSON.parse() in JavaScript and json.loads() in Python.
Related tools
Upload a file, preview the tables, edit if needed, and download as JSON. No signup, no upload, completely free.