Compare every page.
Verify every decision.

AI-DrivenDesktop PublishingQualityAssurance

Compare English publications with Simplified Chinese versions. Check text evidence, page structure, tables, images and semantics—then review every finding side-by-side.

Launch Automated DTP QA Explore the workflow ↓

Rules firstEvidence-validated AIHuman controlled

DOCUMENT ANALYSISEN ↔ ZH

68 / 60pages

Publication intelligence

Four layers.
One review surface.

Turn long bilingual publications into a concise set of page-level findings that deserve human attention.

Content fidelity

Check numbers, dates, percentages, units and approved terminology against exact source and target evidence.

DETERMINISTIC

Structure & layout

Compare images, tables, captions, formatting signals and page structure across DOCX and PDF publications.

DOCUMENT-AWARE

Semantic evidence

Use focused AI review for complex translation relationships that cannot be judged reliably by fixed rules alone.

AI-ASSISTED

Human decision

Inspect both pages side-by-side, confirm each finding, add reviewer comments and export a traceable Excel report.

HUMAN-CONTROLLED

Hybrid QA architecture

Rules handle certainty.
AI handles complexity.
People handle judgement.

Objective mismatches are checked locally and consistently. AI is reserved for selected semantic relationships, and its output must point to exact English and Chinese evidence.

LAYER 01Deterministic checks

Numbers · units · dates · terminology · structure

FAST + REPEATABLE

LAYER 02Focused AI review

Meaning · relationships · contextual evidence

SELECTIVE + EVIDENCE-BOUND

LAYER 03Human verification

Side-by-side pages · comments · final status

ACCOUNTABLE

From publication to decision

A transparent document QA pipeline.

Upload

Add the English source, Chinese target and an optional approved glossary.

Extract

Read text, pages, images, tables and structural signals from TXT, DOCX or PDF.

Align

Connect corresponding English and Chinese page groups and evidence spans.

Inspect

Run high-precision rules first, then optional evidence-validated AI review.

Decide

Review highlighted evidence, record status and export the multi-sheet report.

ISSUE-001EN 32 / ZH 30

MISTRANSLATION · UNIT_OMISSION

SOURCE EVIDENCE

1000 Bq/m³

TARGET EVIDENCE

1000 贝可/米

SUGGESTED CORRECTION

Restore the missing cubic-metre denominator in the Chinese unit.

Human review required

Human in the loop

AI finds the evidence.
You make the decision.

Every finding keeps the reviewer in control with exact excerpts, page references, highlighted evidence, a suggested correction and an editable status.

✓ Side-by-side English and Chinese page preview
✓ Accepted, Corrected and reviewer-comment workflow
✓ Multi-sheet Excel export for traceable follow-up

Ready when your publications are

Turn page-by-page checking into
evidence-led review.

Upload an English source and its Simplified Chinese version to begin an Automated DTP QA check.

Launch Automated DTP QA