2 dépôts
Decoding of compressed binary data blocks using filters to retrieve readable content.
Distinguishing note: Candidates target audio streaming or AI transformers; this is for binary file decompression.
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pypdf is a Python library for parsing, manipulating, and generating PDF documents. It provides high-level operations for document processing, such as merging multiple files into one or splitting a single document into smaller files. The project includes specialized tools for managing interactive elements, including the creation and modification of annotations, hyperlinks, and form fields. It also supports advanced metadata management, allowing for the extraction and modification of standard document properties and XML-based XMP metadata. Beyond basic structural changes, the library covers pa
Processes compressed binary data blocks using filters like FlateDecode to retrieve text and images.
This library is a toolkit for processing, manipulating, and inspecting PDF documents within the Rust programming language. It provides programmatic access to the internal structure of files, enabling the extraction of data and the modification of document content. The project utilizes a strongly-typed system to map complex document objects into structured data models. It supports the parsing of existing files through lazy-loading and stream-based decoding, which allows for the retrieval of text, metadata, and images. The library also facilitates the creation of updated document versions by re
Decodes compressed binary PDF streams using filter-specific algorithms to transform raw data into readable content.