Image quality
Surface image-quality issues that can compromise a submission.
Parse reviews entire batches against document requirements — from image quality and typography to captions, consistency, accessibility and figure sequencing — then traces issues back to the exact location that needs attention.
From a batch of submissions to document-level findings and the exact places that need attention.
See the state of the full batch, open an individual submission, and understand what needs to change without hunting through the document manually.

Parse brings visual, typographic and structural review into a single workflow instead of treating every requirement as a separate manual check.
Surface image-quality issues that can compromise a submission.
Review text size, font use and presentation-level typography requirements.
Find presentation inconsistencies and caption-related review items across a document.
Detect duplicate identifiers, numbering reversals and structural sequencing problems.
Bring accessibility-related review items into the same document-level workflow.
Trace findings back to the slide or location that needs attention.
Parse can run locally, keeping document review close to the institution and the people responsible for the work rather than turning a sensitive workflow into a generic cloud upload.
The result is a human-readable review that helps people fix the document, not another opaque score.
Tell us how your documents are reviewed today and what your team needs to check.
Talk to Ribhoo ↗