What is ScreenRedact's monthly traffic and growth trend?

ScreenRedact currently receives 0 monthly visits, with a month-over-month traffic change of +0 (0.0% growth rate). Its primary source market is Global (— share), including 0 direct visits/mo and 0 organic search visits/mo.

Is ScreenRedact free? What is its pricing model?

ScreenRedact operates on a Free pricing model. ScreenRedact offers a Free pricing model. Supported billing and checkout platforms include: not listed.

Which platforms and core AI capabilities does ScreenRedact support?

ScreenRedact is classified under Herramientas de IA para Desarrolladores, Editor de Fotos con IA, OCR con IA, Object Remover AI, supports the following platforms: App, and its core capability tags include: Redaction, Image editing, Machine learning, Privacy, Text recognition, Screenshot.

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ScreenRedact — AI Tool Traffic, Pricing & Alternatives | OpenAITools.app

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ScreenRedact

Q: What are the best ScreenRedact alternatives in 2026?

Based on OpenAITools.app category traffic and feature fit, the top five alternatives to ScreenRedact are: 1. Salesforce Agentforce (formerly Einstein) (132,34 M visits/mo); 2. Google AI Studio (110,43 M visits/mo); 3. Miro (30,24 M visits/mo); 4. Code Arena (30 M visits/mo); 5. prolific.com (19,05 M visits/mo).

FreeAgent-Verified Live Endpoint: 2025-07-25Markdown

5(0 reviews)apps.apple.com1 saveApp

https://apps.apple.com/il/app/screenredact/id6503662278

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Key Facts & Telemetry Summary (2025-07-25)
According to OpenAITools.app telemetry verified on 2025-07-25, ScreenRedact (apps.apple.com) is an AI platform indexed under Herramientas de IA para Desarrolladores generating 0 monthly visits with a month-over-month traffic delta of +0 (0.0%). Its primary geographic market is Global (— traffic share), and it operates on a Free pricing model. Top competing alternatives by monthly volume include Salesforce Agentforce (formerly Einstein) (132,34 M visits/mo), Google AI Studio (110,43 M visits/mo), Miro (30,24 M visits/mo).

Mac app for redacting text in images using on-device machine learning.