Notebloc Scanner - Scan to PDF vs Parchment: Agenda & Daily Note
Revenue, downloads, ratings and category context for two iOS apps. Figures are estimates and should be read as ranges, not exact totals.
Notebloc Scanner - Scan to PDFNotebloc Scanner SCP - Productivity
Parchment: Agenda & Daily NoteChris Lawley - Productivity| Metric | Notebloc Scanner - Scan to PDF | Parchment: Agenda & Daily Note | Readout |
|---|---|---|---|
| Estimated revenue / mo | $*** - opens with trial | $*** - opens with trial | Notebloc Scanner - Scan to PDF |
| Revenue band | $*** - opens with trial | $*** - opens with trial | Use range + confidence |
| Estimated downloads / mo | $*** - opens with trial | $*** - opens with trial | Notebloc Scanner - Scan to PDF |
| Download band | $*** - opens with trial | $*** - opens with trial | Use range + confidence |
| Rating | - | 4.71 | Parchment: Agenda & Daily Note |
| Rating count | - | 90 | Parchment: Agenda & Daily Note |
| Tracked keywords | — | 1 | Parchment: Agenda & Daily Note |
| Category | Productivity | Productivity | Same market |
Which app is bigger?
Notebloc Scanner - Scan to PDF and Parchment: Agenda & Daily Note are compared inside Productivity with monthly revenue, downloads, rating, review volume, keyword footprint, category placement and range context. Notebloc Scanner - Scan to PDF leads on monthly downloads in the current readout, and Notebloc Scanner - Scan to PDF wins the revenue readout (the exact figures open with the paid plan), Notebloc Scanner - Scan to PDF wins demand, Parchment: Agenda & Daily Note has deeper review volume, and Parchment: Agenda & Daily Note has the larger tracked keyword footprint. The better app depends on the job: choose the revenue leader when you need monetization proof, choose the download leader when reach matters, and choose the higher-rated or deeper-reviewed app when market trust is the constraint. Read both ranges rather than only the midpoint, then open the category hub and related collections to see whether this pair is an outlier or a normal category pattern.