Analyst-grade table fidelity

Table Extraction from PDF

Extract tables as true structure with category-leading fidelity.

Who this delivers the biggest impact for

Analysts, BI teams, and operations leaders who depend on table accuracy

Flattened OCR text destroys table structure and forces expensive manual cleanup.

Live sample output

Input: multi-page P&L report with merged headers.

Merged headers and cross-page links remain intact for analyst review.

Step 1

Separate real tabular structures from surrounding narrative layout.

Step 2

Rebuild header hierarchy, merged-cell relationships, and row boundaries.

Step 3

Push structured outputs directly to spreadsheets, BI stacks, and data workflows.

Route table-heavy documents through dedicated task profiles for the highest extraction quality.

POST /api/v1/uploads/init

PUT /api/v1/uploads/direct/{key}

POST /api/v1/documents

POST /api/v1/jobs

GET /api/v1/documents/:id/outputs

Can SuperOCR handle multi-page financial tables?

Yes. Cross-page continuity metadata keeps segmented tables aligned and reviewable.

Do we still need manual table reconstruction?

In most cases, no. SuperOCR is designed to deliver structure-first outputs ready for direct use.

Extract tables as true structure with category-leading fidelity.