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How much does Text Extractor earn?

Android app from Plagiarisma.Net · Tools

ML forecast ★ 3.3 · 639 Free

~451/mo

ML revenue forecast. Calibrated against 77129 apps in this category.

Confidence band
±15%
High — many comparable apps with verified data

At a glance

What the app looks like

Live screenshots from the Play Store, captured by our snapshot worker. Tap any image to enlarge.

Text Extractor screenshot 1 Text Extractor screenshot 2 Text Extractor screenshot 3 Text Extractor screenshot 4

Text Extractor's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Text Extractor sits in Tools

Revenue distribution of 77129 comparable apps. Text Extractor highlighted.

Text Extractor vs comparable apps

Revenue trajectory side-by-side. Bold = Text Extractor, ghosted = peers.

App spec

Version
1.4
Last update
Nov 14, 2022
Launched
Feb 07, 2016
Price
Free
Monetization
Free

What Text Extractor actually does (from store listing)

Text Extractor is a powerful OFFLINE tool to extract text from many different document formats: * Adobe PDF * Microsoft Word DOCX * Microsoft Word DOC * Microsoft Excel XLSX * Microsoft Excel XLS * Rich Text Format RTF * OpenOffice ODT * MOBI * EPUB * PalmDoc PDB * Fiction Book FB2 * CSV * CHM * HTML * TXT Converted text can be saved to the following documents: * Adobe PDF * Microsoft Word DOCX * Microsoft Excel XLSX * Rich Text Format RTF * OpenOffice ODT * EPUB * H…
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Comparable Android apps

The five apps in Tools with the closest revenue to Text Extractor. Click any to see its detail page.

AppRevenueRatingRatings
Turkish (Türkçe) / AppsTech icon Turkish (Türkçe) / AppsTech 451 ★ 4.8 649
Bluetooth Battery icon Bluetooth Battery 451 ★ 3.4 1K
Bluetooth Force Pin Pair (Conn icon Bluetooth Force Pin Pair (Conn 451 ★ 2.9 1K
Level with voice /Spirit level icon Level with voice /Spirit level 451 ★ 4.2 1K
Battery Lite icon Battery Lite 451 ★ 4.7 712
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How we calculated this

Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag. The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR. Every number on this page comes from public APIs and bumetric's own snapshot history.

Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors. See also the live data on Text Extractor's tracker page for current rating, reviews and snapshot timeline.

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