Apps Like PDF Toolkit + for iPhone and iPad
Manipulate PDF files with efficiency.
The app manipulates PDF files by merging, splitting, extracting pages, extracting images, and compressing files. Its interface allows users to drag files onto the window to perform chosen actions.
PDF Toolkit + screenshots
Ranked alternatives
Showing 841–860 of 1,000 ranked alternatives.



PDF OCR X Community Edition
Web Lite Solutions Corp.
Convert PDFs to text with OCR
Convert single-page PDFs and images into text documents or searchable PDFs using OCR technology. Drag and drop files for processing. Extract text from scanned documents or images. Save as text files or editable PDFs.




ReadTool - Offline Reader
FAMEINK PTE. LTD.
Read files in TXT, PDF, and EPUB
Allows users to import and read TXT, PDF, and EPUB files. Files can be imported directly into the for reading. The supports multiple reading modes and enables users to adjust text size and background color.

Document & pdf scanner app
TROSTUN LTD
Scan documents and extract text
Scan documents and images to extract visible text. Convert text to digital formats such as .txt and .docx. Save scanned files and share them directly.







iLapTimer - Motorsport GPS Lap timer & Data Logger
18000rpm Limited
GPS lap timer and race data.
The app is a GPS lap timer and race data acquisition software. It displays current, selected, and previous lap times automatically after each lap.

PDF Converter, Reader & Editor
Muhammad Afzal Noor Muhammad
Convert files to PDF and vice versa
Convert files to PDF and other formats. Open and view PDFs with built-in . Convert images, JPGs, and Word documents to PDF. Select files from your device and start conversion instantly.




PDFSplitter Pro
RootRise Technologies Private Limited
Split PDFs into smaller files.
The app splits large PDF documents into smaller files using page count, file size, or outline criteria. It preserves bookmarks, links, and annotations from the source documents in the output files.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.