Helpy Vision
Turn scattered documents into data AI can read
Converts documents of every layout — PPT, images, Excel, HWP, blueprints — into structured data that AI can understand accurately
What is Helpy Vision?
Helpy Vision is an AI document analysis solution that converts unstructured documents into structured data an AI can understand. It preserves tables, formulas, and layout, and reads schematics and engineering drawings too, so the content stays usable and accurate.
Try it yourself
Why are AI answers inaccurate when you feed in documents as they are?
Broken tables and formulas
Conventional OCR reads table rows, columns, and formulas as plain characters, so the original meaning disappears.
Ignored layout
Documents mixing paragraphs, charts, and images are flattened into a single line of text, losing their original flow and meaning.
Low AI answer accuracy
Feed in unorganized documents and the AI misses context, lowering the accuracy of RAG systems that answer from your internal materials.
Converted into the right format for each document element
It does more than pull out text. It analyzes the structure and meaning of the document together.
Pick a document element to convert.
Tables
Table (HTML)
Tables (HTML) that keep row and column relationships
<table>
<tr><th rowspan="2">…</th>
<th colspan="2">2026</th></tr>
<tr><th>Q3</th><th>Q4</th></tr>
<tr><td>…</td><td>1,284</td>
<td>1,507</td></tr>
</table>Merged cells (rowspan/colspan) and multi-row headers keep their original structure.
Helpy Vision model lineup
Three models: one for whole-document structure, one dedicated to complex tables, and one that reads engineering drawings.
Helpy Document Vision
Whole-document structure analysis
A document analysis model that automatically classifies paragraphs, tables, charts, formulas, and images, then converts them into structured data (JSON).
Input
PDF, PPT, PPTX, PNG, JPEG
Output
JSON
Helpy Table Vision
Specialized extraction of complex tables
A table-only model that converts merged cells and multi-line headers into tables (HTML) with the original structure intact. It integrates the same way you would call the OpenAI API.
Input
Table images
Output
HTML, Markdown, CSV, JSON
Coming soon
Helpy Blueprint Vision
Engineering drawing analysis
Reads everything from the parts, pins, and wiring of a schematic to the 3D shape an orthographic drawing describes. Drawings that took engineers hours become structured data, and the model can be fine-tuned to your domain.
Input
PNG, JPEG, JPG
Output
Netlist (JSON), CadQuery code, 3D solid
Proven by performance
3.4×
Faster conversion
33.6s on existing commercial tools → 9.8s on average
95.3%
Average accuracy
Measured on table extraction from unstructured Korean documents
0.625
3D reconstruction accuracy
First on the public benchmark · drawing → CAD
Frequently asked questions
It is an AI document analysis solution that converts unstructured documents into structured data an AI can understand.
Unlike OCR, which only extracts characters, it analyzes and converts the structure and meaning of tables, formulas, and images.
It supports a wide range of documents and images including PDF, PPT, PPTX, PNG, and JPEG.
It outputs structured data (JSON) that connects directly to RAG systems and AI agents.
Helpy Blueprint Vision handles those. It turns a schematic's parts, pins, and wiring into a netlist, and an orthographic drawing into runnable CadQuery code and a 3D solid. It leads the public benchmark with a mean 3D IoU of 0.625 on the Fusion360 subset, and is coming soon.
Turn documents into data AI can read. Start with Helpy Vision.
Turn your scattered documents into data AI can use right away