#pdf #unstructured #text #parser #file-format #file-content #tika

extractous

Extractous provides a fast and efficient way to extract content from all kind of file formats including PDF, Word, Excel CSV, Email etc... Internally it uses a natively compiled Apache Tika for formats are not supported natively by the Rust core

4 releases

new 0.1.4 Sep 18, 2024
0.1.3 Sep 11, 2024
0.1.2 Sep 11, 2024
0.1.1 Sep 11, 2024

#421 in Parser implementations

Download history 223/week @ 2024-09-05 326/week @ 2024-09-12

559 downloads per month

Apache-2.0

105KB
1.5K SLoC

Rust 1K SLoC // 0.1% comments Java 234 SLoC // 0.3% comments Batch 68 SLoC

Contains (JAR file, 61KB) gradle-wrapper.jar

Extractous

Extractous is a Rust crate that provides a unified approach for detecting and extracting metadata and text content from various documents types such as PDF, Word, HTML, and many other formats.

Features

  • High-level Rust API for extracting text and metadata content for many file formats.
  • Strives to be efficient and fast.
  • Internally it calls the Apache Tika for any file format that is not natively supported in the Rust core.
  • Comprehensive documentation and examples to help you get started quickly.

Installation

To use extractous in your Rust project, add the following line to your Cargo.toml file:

[dependencies]
extractous = "0.1.3"

Usage

  • Create and configure an Extractor instance
use extractous::Extractor;
use extractous::PdfParserConfig;

fn main() {
    // Create a new extractor. Note it uses the consuming builder pattern
    let mut extractor = Extractor::new()
        .set_extract_string_max_length(1000);

    // can also perform conditional configuration
    let custom_pdf_config = true;
    if custom_pdf_config {
        extractor = extractor.set_pdf_config(
            PdfParserConfig::new().set_extract_annotation_text(false)
        );
    }
}
  • Extracting a content of a file to a String
use extractous::Extractor;

fn main() {
  // Get the command-line arguments
  let args: Vec<String> = std::env::args().collect();
  let file_path = &args[1];

  // Extract the provided file content to a string
  let extractor = Extractor::new();
  let content = extractor.extract_file_to_string(file_path).unwrap();
  println!("{}", content);
}
  • Extract a content of a file to a StreamReader and perform buffered reading
use std::io::{BufReader, Read};
use extractous::Extractor;

fn main() {
    // Get the command-line arguments
    let args: Vec<String> = std::env::args().collect();
    let file_path = &args[1];

    // Extract the provided file content to a string
    let extractor = Extractor::new();
    let stream = extractor.extract_file(file_path).unwrap();

    // Because stream implements std::io::Read trait we can perform buffered reading
    // For example we can use it to create a BufReader
    let mut reader = BufReader::new(stream);
    let mut buffer = Vec::new();
    reader.read_to_end(&mut buffer).unwrap();

    println!("{}", String::from_utf8(buffer).unwrap())
}

Building

Requirements

  • Extractous uses Apache Tika for file formats that are not natively supported in Rust. However, to achieve one of Extractous goals, which is speed and efficiency, we do not set up any Tika as a servers or run any Java code. We instead, compile Apache Tika as native shared libraries and use them on our Rust core as ffi. GraalVm is required to build Tika as native libs.
  • The provided build script already takes care of installing the required GraalVM JDK. However, if you want to use a specific local version, you can do so by setting the GRAALVM_HOME environment variable
  • We recommend using sdkman to install GraalVM JDKs
  • sdk install java 22.0.1-graalce
  • Confirm that GraalVM is installed correctly by running java -version. You should see something like:
openjdk 22.0.1 2024-04-16
OpenJDK Runtime Environment Liberica-NIK-24.0.1-1 (build 22.0.1+10)
OpenJDK 64-Bit Server VM Liberica-NIK-24.0.1-1 (build 22.0.1+10, mixed mode, sharing)
  • On macOS the official GraalVM JDKs fail to work with code that use java awt. On macOS, we recommend using Bellsoft Liberica NIK
  • sdk install java 24.0.1.r22-nik

Building Extractous

  • To build Extractous, just run:
  • cargo build

Running Tests

  • To run tests, just run:
  • cargo test

Dependencies

~2–14MB
~125K SLoC