HEIC/HEIF to JSON converter
HEIC/HEIF is rasterized or read page-by-page and AI Deep Read produces JSON text for heic-to-json.
- Converted with AI Deep Read · input deleted within 24 h
- Free: 5 conversions a day · 5 MB each
- Higher limits →
What changes
- HEIC/HEIF is rasterized or read page-by-page and AI Deep Read produces JSON text for heic-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 HEIC/HEIF → JSON run
We converted our HEIC/HEIF sample (115 KB) with AI Deep Read under AI Deep Read on 2026-09-11. It took 6.2 s and produced a 1 KB JSON file, 99% smaller than the input. The engine raised 1 warning, listed below.
Input · sample.heic · 115 KB
1240 × 1754 px, heic
- Width
- 1,240
- Height
- 1,754
- Encoding
- heic
Output · sample.json · 1 KB
Object with 2 top-level keys: language, content
- Keys
- language, content
- AI Deep Read read 1 page; 1 credit per page
First lines of the output
{
"language": "en",
"content": [
{
"type": "heading",
"level": 1,
"text": "Feedback Atlas — Q3 activity trail"
},
{
"type": "paragraph",
"text": "Prepared for: Board of Directors · 12 Sep 2026"
},
{
"type": "heading",
"level": 2,
"text": "Headline *numbers*"
},
{
…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
HEIC/HEIF scan or photo page with headings, tables, and form labelsJSON OCR text in reading order; uncertain text marked [illegible]Do it in code
curl -X POST https://filetypeconverters.com/api/v1/convert \
-F from=heic -F to=json -F file=@input.heic \
-o output.jsonHEIC/HEIF 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=heic&to=json.
curl -X POST https://filetypeconverters.com/api/v1/convert \
-H "Authorization: Bearer $FTC_API_KEY" \
-F "file=@input.heic" -F "from=heic" -F "to=json" \
-F "deepRead=true" \
--output output.jsonThis converter works today; a tested write-up of what changes for HEIC/HEIF → JSON is in progress.