PNG to JSON converter

PNG is rasterized or read page-by-page and AI Deep Read produces JSON text for png-to-json.

Converted with AI Deep Read · input deleted within 24 h
Free: 5 conversions a day · 5 MB each
Higher limits →

What changes

PNG is rasterized or read page-by-page and AI Deep Read produces JSON text for png-to-json.
AI Deep Read uses 1 credit per page and is not available anonymously; sign in and see /pricing for credit packs.
The organization-configurable model transcribes visible text, headings, lists, forms, checkboxes, captions, and tables in reading order.
OCR does not recover hidden text layers, passwords, redacted content, embedded files, comments, or document metadata.
JSON output asks for strict structured text, but you should validate schema before automating downstream imports.
Illegible regions are marked instead of invented; scans, handwriting, skew, and low contrast affect accuracy.

A real PNG → JSON run

We converted our PNG sample (219 KB) with AI Deep Read under AI Deep Read on 2026-09-11. It took 5.2 s and produced a 750 B JSON file, 100% smaller than the input. The engine raised 1 warning, listed below.

Input · sample.png · 219 KB

1240 × 1754 px, 8-bit, colour type 2

Width: 1,240
Height: 1,754
Encoding: 8-bit, colour type 2

Output · sample.json · 750 B

Object with 6 top-level keys: language, title, prepared_for, date, sections, signature

Keys: language, title, prepared_for, date, sections, signature

AI Deep Read read 1 page; 1 credit per page

First lines of the output

json

{
  "language": "en",
  "title": "Feedback Atlas — Q3 activity trail",
  "prepared_for": "Board of Directors",
  "date": "12 Sep 2026",
  "sections": [
    {
      "heading": "Headline *numbers*",
      "table": "| Metric | Q2 | Q3 |\n|---|---:|---:|\n| ARR | $4.1M | $4.9M |\n| Net revenue retention | 108% | 113% |\n| Support CSAT | 93% | 94% |\n| Refunds | (12,400) | (9,850) |"
    },
    {
      "heading": "What went well",
      "list": [
        "Enterprise pipeline doubled after the SOC 2 report shipped.",
        "Support CSAT held at 94% while ticket volume rose 31%.",
        "Two renewals slipped into October. Owner: VP Sales."
      ]
    }
…

Options

pageRange: OCR only selected PDF pages before charging page credits.
maxPages: Cap the number of pages processed for cost and speed control.
extractTablesAsGfm: Return detected tables as GitHub-flavored Markdown pipe tables.
preserveLayout: Keep visible columns and sections when they help comprehension.
languageHint: Tell the OCR model which language to expect when auto-detection is not enough.

Example

input

PNG scan or photo page with headings, tables, and form labels

output

JSON OCR text in reading order; uncertain text marked [illegible]

Do it in code

cli

curl -X POST https://filetypeconverters.com/api/v1/convert \
  -F from=png -F to=json -F file=@input.png \
  -o output.json

PNG to JSON by API or MCP

The HTTP API and the MCP server run the exact engine this page uses (AI Deep Read); the response carries the same warnings the web converter shows. Check support first with GET /api/v1/pairs?from=png&to=json.

curl

curl -X POST https://filetypeconverters.com/api/v1/convert \
  -H "Authorization: Bearer $FTC_API_KEY" \
  -F "file=@input.png" -F "from=png" -F "to=json" \
  -F "deepRead=true" \
  --output output.json

API reference

Related conversions

This converter works today; a tested write-up of what changes for PNG → JSON is in progress.