Free document tool

Extract structured fields from document images to JSON using AI

Pixels become named fields. Illustrative example.

Read fields and tables from an image, then export reviewed JSON.

Upload a document photo, screenshot or scan. AI image-to-JSON extraction reads labels, values and repeating rows, then opens the structured result beside the source. Check field names, nulls, identifiers and types before your application consumes the download.

Content reviewed 2026-10-01.

JSON, CSV and Excel downloads are included on Free after signup, within Free plan limits. See Free limits.

Anonymous originals stay in browser storage, not cloud file storage. Extraction may send document content to the selected AI provider.

Upload a document image. JPG, PNG, WebP, GIF, TIFF or AVIF image files are supported up to 50 MB.

28-day Free trial · 25 page-equivalents · 5 hosted pages/document

What is included in the image JSON export?

Dynamite Docs uses AI OCR to extract labelled fields and table rows from a document photo, scan, or screenshot. Review the values beside the image, then export JSON for your mapper.

Valid JSON can still contain an OCR mistake. Keep identifiers as strings and validate required fields, dates, amounts, arrays, and null handling in your application.

How do you convert an image of a document into structured JSON data?

Use Image to JSON when developers need structured JSON fields and row arrays from a document photo, scan, or screenshot. Capture high-resolution images with uncropped margins so field labels remain clearly associated with their corresponding values.

During review, cross-check extracted key-value pairs and table rows against the source image. Verify that alphanumeric identifiers retain leading zeros as strings, that dates follow standard formats, that decimal amounts avoid floating-point distortion, and that missing values are mapped to consistent null representations.

Use Image to CSV for flat tabular imports, or Image to Excel for spreadsheet analysis. When the image is a commercial invoice, use Invoice to JSON for specialized vendor, tax, and line-item mapping. For recurring programmatic image ingestion, connect via our REST API with saved schemas, webhook callbacks, and retry handling.

Compare monthly processing allowances and plan limits or read the step-by-step extraction and review guide.

Connect an AI provider and get a key

Choose a hosted model or connect your own provider key for the extraction.

Provider keys are encrypted before storage. Compare processing options or follow the setup guide.

Read the image OCR guide for photo, screenshot, scan, and table quality before choosing an output format.

Choose the page for the job

Questions about Extract structured fields from document images to JSON using AI

The 28-day Free trial includes 25 page-equivalents per month shared by hosted and own-key processing, 5 hosted pages per document, and 5 documents per day. Anonymous trials have separate daily limits.

Does Image to JSON encode the picture as Base64?

No. This tool extracts visible document data into fields and rows. It does not serialize the original image bytes into a JSON string.

Can I choose my own JSON property names?

Review and rename inferred columns in the workspace. For a repeatable production schema, save a preset and validate the exported values in your application.

When should I use the document extraction API?

Use the free page to inspect one file and a sample output. Use the API when software needs authentication, repeatable schemas, retries, and automated delivery.

How should I handle OCR confidence in an application?

Use it to route fields for review, not as proof that a value is correct. Define which identifiers, dates and amounts always need source comparison, and send missing or unexpected fields to an exception path instead of accepting the payload silently.

Why should identifiers remain strings?

Work-order numbers, account references, postal codes and similar values may contain leading zeroes, punctuation or letters. Numeric conversion can alter them without producing an error. Keep the reviewed representation as text and validate its business format separately.