Document & image data

Document and image data collection with capture quality built into the workflow.

Document and image projects depend on more than volume. Pages or objects must match the assigned category, remain readable or visible, follow capture rules and carry the metadata required for downstream model training or evaluation.

Document and image data collection in a real-world field workflow
Capability scope

Document and image collection can cover

01

Document photography

Handwritten notes, forms, tables, posters, invoices, contracts and other approved document categories.

02

Language-specific batches

Regional-language or script requirements can be separated into controlled collection batches.

03

Real-world images

Project-defined objects, environments, scenes or interactions captured under specified conditions.

04

Metadata capture

Language, category, task, source context, device, environment and review status when required by the schema.

Operating controls

What we validate before scale and delivery

Acceptance rules vary by project, so the controls below are configured against the approved specification rather than treated as universal thresholds.

Complete framingRequired page edges, corners or object regions stay inside the frame.
Readability & focusImportant text, values, figures or visual details remain sharp enough for review.
Lighting & angleGlare, heavy shadow, perspective distortion and low-light failures are rejected according to the protocol.
Category controlWrong language, category, duplicate or unrelated files are removed before delivery.
Capture quality

Readable documents require disciplined framing, lighting and batch control

For document-photo collection, the fastest quality improvement is usually a clean retake at the source. Trying to rescue a poor capture after the fact introduces avoidable ambiguity.

Complete framing

Keep the entire page and all four corners inside the frame. Headers, footers, rows, columns and other important content should not be cut off.

Immediate readability

Text, numbers, signatures, tables and figures should be sharp enough to review without guessing. Blur, soft focus and content that is too small to interpret should be retaken.

Lighting and angle

Use even exposure and avoid glare, reflections, heavy shadows and strong perspective distortion. A straight or near top-down view is easier to validate and process.

Language and category integrity

Keep assigned language batches and document categories separate. Wrong-language pages, unrelated documents and duplicate captures should be removed before upload.

10-second self-checkCan the smallest important text be read? Are all four corners visible? Is there glare or shadow over content? Is the page straight? Is the language and document category correct? If any answer is no, retake.
Delivery structure

Outputs organized around the agreed use case.

A delivery may include approved source images, document-category metadata, language labels, quality status, manifests and the naming structure agreed for the project.

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