Apps Like T-DOC 13 for iPhone and iPad
T-DOC 13 screenshots
Ranked alternatives
Showing 321–340 of 1,000 ranked alternatives.
IRIScan to PDF
IRIS
Scan documents to searchable PDF files.
The app converts paper documents into editable and searchable PDF files using the device camera. It supports multipage documents, text recognition in over 130 languages, and file compression.
探眼-出行防拍卫士：红点摄像头检测
好喜 孙
Detect cameras and scan your space
Detect hidden cameras using advanced scanning technology. Identify potential spy devices in various environments. Perform multiple scans with high sensitivity and interference resistance. Subscribe for unlimited detection sessions.
Scan photo to PDF & Sign Docs
Uladzislau Nasonau
, , and share documents instantly
Documents to create PDF or JPG files. and convert files to ZIP format. Share, print, and organize digital documents. Edit scans with automatic edge detection and image enhancement.
Office Plus - File Sharing
练 黎
Manage and transfer files easily.
The app allows for cross-device file transfers and comprehensive file management, including PDF and Excel editing. It supports downloading network files locally and sharing them across various applications and devices.
WirelessDisk－Zip Rar Compress
世木 林
Transfer files with WiFi and USB.
The app allows users to transfer files via WiFi and USB. It supports Zip and Rar decompression, folder creation, and batch operations for multiple files.
司印云打印
Suzhou Brocadesoft Information Technology Co., Ltd.
Print to company devices securely
Print documents to company devices using mobile device. Connect to same network as cloud printing platform to search and add printers manually. Support PDF, images, Word, and Excel files. Set print copies, range, color, sides, and paper size.
零克违禁词查询-红薯违禁词查词网红神器
燕真 段
Check content for banned words and risks
Detect and flag prohibited words in text, images, files, and URLs. Provide location-based alerts and compliance suggestions. Offer AI analysis for content structure and engagement improvements.
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Apps are ranked by functional similarity, category fit, rating confidence, and popularity.