Document Layout and Region Annotation
Position-aware labels produced to a versioned schema and field-level acceptance target.
Document & OCR Annotation Services for Document AI and IDP
Layout regions, key-value pairs, table structure, handwriting and form fields built on publishing and digital-conversion expertise.
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What Is Document & OCR Annotation?
Document annotation teaches models what text says, where it sits and how it relates structurally. OCR ground truth measures character recognition; document annotation adds fields, tables and reading order.
Document Annotation Types We Deliver
Key-Value Pair Extraction
Position-aware labels produced to a versioned schema and field-level acceptance target.
Table Structure Recognition
Position-aware labels produced to a versioned schema and field-level acceptance target.
Line-Item Extraction
Position-aware labels produced to a versioned schema and field-level acceptance target.
Form Field and Checkbox Annotation
Position-aware labels produced to a versioned schema and field-level acceptance target.
Handwriting Transcription
Position-aware labels produced to a versioned schema and field-level acceptance target.
Signature, Stamp and Seal Detection
Position-aware labels produced to a versioned schema and field-level acceptance target.
Document Classification and Multi-Page Splitting
Position-aware labels produced to a versioned schema and field-level acceptance target.
Reading Order Annotation
Position-aware labels produced to a versioned schema and field-level acceptance target.
Entity Extraction in Documents
Position-aware labels produced to a versioned schema and field-level acceptance target.
PII Identification and Redaction Marking
Position-aware labels produced to a versioned schema and field-level acceptance target.
OCR Ground-Truth Transcription
Position-aware labels produced to a versioned schema and field-level acceptance target.
Document Types We Work With
Invoices, receipts, KYC, claims, contracts, trade paperwork, medical forms, transcripts, mark sheets and archival records.
Document Structure Is Already Our Core Business
Publishing production, Digital Conversion, Image Processing, Metadata Services and Editorial & Publishing establish eQOURSE's page-structure expertise.
Our Document Annotation Process
- Sample and schema review
- Guideline authoring
- Template coverage mapping
- Team calibration
- Pilot batch
- Production with field-level QA
- Delivery and iteration
How We Measure Document Annotation Quality
Per-field accuracy, CER and WER, table-cell accuracy, normalisation checks, gold documents, double-entry and template audits.
Tables, Handwriting and the Problems That Break Document Pipelines
Versioned rulings cover borderless tables, mixed handwriting, complex reading order and multi-page document boundaries.
Handling Sensitive Documents
PII classification, masking, pseudonymisation, restricted environments, vetted teams, audit trails and contract-defined deletion.
Output Formats and Delivery
JSON, hOCR, ALTO XML, PAGE XML, FUNSD, DocVQA, CoNLL, COCO regions, CSV, Excel, searchable PDF and custom schemas.
OCR-Assisted Annotation
Human correction accelerates clean printed documents; manual transcription replaces pre-fill where it reduces accuracy. OCR ground truth remains independent.
Related Services and Proof
Image Annotation Cleaning and Validation Annotation samples Case studies
Frequently Asked Questions About Document & OCR Annotation
What is document annotation?
Document annotation labels document structure and meaning, including fields, tables, reading order and document boundaries.
What is the difference between OCR and document annotation?
OCR converts pixels into characters. Document annotation adds field relationships, table structure and reading order.
How do you handle borderless tables?
Rows, columns, headers, merged cells and spanning cells are represented explicitly and scored at cell level.
Can you handle handwritten documents?
Yes. Handwriting is transcribed at line or word level with confidence flags for ambiguous or illegible content.
What output formats do you deliver?
JSON, JSONL, hOCR, ALTO XML, PAGE XML, FUNSD, DocVQA, CoNLL, COCO regions, CSV, Excel, searchable PDF and custom schemas.
How do we start?
Share representative documents and the extraction schema for a pilot with field-level quality reporting.