Free document tool

Convert invoice fields and line items to JSON using AI

Fields and line items, structured. Illustrative example.

Turn one invoice into JSON you can inspect before your code sees it.

Upload an invoice PDF or photo. The tool extracts document fields and line-item rows, then lets you compare each value with the source before JSON export. Use the download as input to your mapper, not as a permanent application schema.

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 invoice. PDF or image files are supported up to 50 MB.

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

What is included in the invoice JSON export?

Dynamite Docs extracts invoice fields and item rows from a PDF, scan, or photo. Review the values beside the invoice, then export JSON containing column definitions, row data, and document metadata.

The product export keeps inferred columns, repeating rows, and extraction metadata separate so a developer can map the reviewed values into an application-owned schema.

How do you convert an invoice PDF into structured JSON for API and ERP pipelines?

Use Invoice to JSON when engineering teams need a verified invoice JSON payload to design an integration, inspect document fields, or prototype an ERP ingestion mapper. Before processing, determine which fields belong in document metadata versus repeating line-item arrays, and establish required property constraints.

During review, cross-reference supplier identity, buyer details, invoice number, issue date, currency, tax amounts, and line items with the source document. Ensure numeric values maintain decimal precision, dates adhere to ISO 8601 formatting, and string fields preserve leading zeros in tax IDs or purchase order codes.

Use Free Invoice OCR when testing whether an obscure scan or layout can be parsed before working with JSON. Use PDF to JSON for non-invoice documents like operational logs or government forms. When moving to automated production pipelines requiring API authentication, webhooks, idempotency keys, and saved corrections, integrate via the REST API and invoice accounting workflow.

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.

See the recurring invoice extraction workflow for supplier batches and saved patterns.

Choose the page for the job

Invoice workflow next steps

Test invoice OCR first: Check whether the source layout, scan, and line items can be read.
Process recurring invoice batches: Add stored files, saved corrections, reviewers, and repeatable exports.
Map GST invoice JSON: Handle GSTIN roles, tax components, null states, and nested line items.
Use the document extraction API: Add authentication, stable mapping, retries, idempotency, and delivery checks.

Questions about Convert invoice fields and line items 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.

Is the JSON schema fixed?

By default, the tool infers a schema from the invoice. In the full workspace you can define or save a reviewed schema when downstream code needs stable property names.

Are line items returned as an array?

The JSON download includes a rows array, column definitions and document metadata. Invoice line-item field names depend on the extracted schema; a line_items key is not guaranteed.

Can I use the result in an API?

Yes after review. Validate the JSON against your own schema and business rules before sending it to accounting, payment, or tax systems.

How should amounts and dates be represented?

Keep the reviewed source value available, then apply an explicit mapping rule. Use decimal-safe handling for money, preserve currency separately, and normalize a date only after confirming its source format. Avoid turning invoice numbers, tax identifiers or purchase-order references into numbers.

How do I keep integrations stable across supplier layouts?

Map each reviewed extraction into your own versioned contract rather than exposing inferred columns directly to production code. Validate required fields and types, reject unexpected changes, and keep a dead-letter or exception path for documents that do not meet the contract.