Generated from iParse.io - Automatically Extract Data From PDF, Image & CSV Files Using AI's audit data
iParse.io - Automatically Extract Data From PDF, Image & CSV Files Using AI scores 71/100 across 6 category checks, which puts it in the healthy band — focused gaps rather than systemic problems. Strengths: languages at 92/100 and title optimization at 88/100 carry the headline — both above the 71/100 overall. Watch-items: technical & support (50/100) and visual assets (50/100) drag the average down; lifting technical & support is the single largest available lever. Per-category breakdown below.
This is an independent listing audit for iParse.io - Automatically Extract Data From PDF, Image & CSV Files Using AI on Salesforce. It scored 71/100 (grade B) on today's snapshot. Top strength: Languages at 92/100. Biggest gap: Visual Assets at 50/100. We re-audit every 24 hours from the canonical Salesforce listing.
Six weighted areas, pass / warning / fail per check, tiers at 85 / 65. Full methodology · Glossary
Last updated: July 12, 2026
iParse.io - Automatically Extract Data From PDF, Image & CSV Files Using AI's overall score of 71/100 is a healthy result with specific areas to tighten, computed as the weighted average of 6 category checks. The spread is highly polarized across categories — 4 categories score above the headline number and 2 score below. The strongest category is Languages (92/100, +21 vs overall); the weakest is Technical & Support (50/100), 21 points below the overall — a meaningful but not dominant gap. Top three by score: Languages (92), Title Optimization (88), Description & Content (79).
Scoring criteria, category weightings, and the full rubric (identical across every Salesforce AppExchange listing AppRanks audits) are documented on the methodology page and the audit-score glossary entry. Disputes or data corrections: [email protected].
iParse.io - Automatically Extract Data From PDF, Image & CSV Files Using AI scored 71/100 in the AppRanks listing audit — a healthy overall result. The score is the weighted average of 6 category checks: Title Optimization 88/100, Description & Content 79/100, Visual Assets 50/100, Categories & Discoverability 75/100, Technical & Support 50/100, Languages 92/100. Each category is scored against a fixed rubric that is identical for every app on the platform, so scores are directly comparable across Salesforce listings.
iParse.io - Automatically Extract Data From PDF, Image & CSV Files Using AI's strongest audit area is Languages, scored at 92/100. Of the 6 checks AppRanks runs in this category, 5 pass cleanly, with the remainder in warning rather than failing state. This is the dimension a competing listing would need to match before iParse.io - Automatically Extract Data From PDF, Image & CSV Files Using AI loses its current edge in this category.
The weakest area in iParse.io - Automatically Extract Data From PDF, Image & CSV Files Using AI's audit is Visual Assets, scored at 50/100. The failing checks are screenshot count, each with a concrete fix described below. Tightening this category is the highest-impact change available to the listing — its weight in the overall score makes it the lever most likely to move the headline number on the next refresh.