transtractor-lib

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transtractor-lib

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A Rust-based library for PDF bank statement extraction. Includes Python and WASM bindings. Aspires to be a universal parser. Checkout the website to see it deployed as a web app.

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# The Transtractor

![PyPI version](https://img.shields.io/pypi/v/transtractor)
![Development Status](https://img.shields.io/pypi/status/transtractor)
![Tests](https://github.com/transtractor/transtractor-lib/actions/workflows/ci.yml/badge.svg)
![Read the Docs](https://readthedocs.org/projects/transtractor-lib/badge/?version=latest)
![codecov](https://codecov.io/gh/transtractor/transtractor-lib/branch/main/graph/badge.svg)
![License](https://img.shields.io/github/license/transtractor/transtractor-lib)

## Universal PDF Bank Statement Parsing
The Transaction Extractor, or 'Transtractor', aspires to be a universal 
library for extracting transaction data from PDF bank statements. Key features:

* Written in Rust (fast and portable)
* Python API (user friendly)
* WASM bindings (browser-ready)
* No AI (lightweight, self-contained and dirt cheap)
* Rules-based extraction (100% predictable and accurate)

## Installation
### Install from PyPI
Transtractor is available on PyPI and can be installed with pip:

```shell
pip install transtractor
```

### Compile from Source
1. **Install Rust**: Download and install Rust from [rustup.rs](https://rustup.rs/)

2. **Install uv**: Follow instructions from [Astral](https://docs.astral.sh/uv/getting-started/installation/)

3. **Sync Python environment and compile**: Clone the repository and build
   ```shell
   git clone https://github.com/transtractor/transtractor.git
   cd transtractor-lib
   uv sync --locked --group dev
   ```

4. **Test the package**: Run Rust and Python unit tests
   ```shell
   cargo test
   uv run pytest
   ```

### Basic Usage
1. **Import and initialise the parser**
   ```python
   from transtractor import Parser

parser = Parser()
   ```

2. **Convert PDF to CSV**: All CSV files are written in a standard format
   ```python
   parser.parse('statement.pdf').to_csv('statement.csv')
   ```

3. **Convert PDF to DataFrame**: Load into a DataFrame for analysis
   ```python
   import pandas as pd

data = parser.parse('statement.pdf').to_pandas_dict()
   df = pd.DataFrame(data)
   ```

## User Documentation
See the [documentation](https://transtractor-lib.readthedocs.io/en/latest/) maintained on Read the Docs for detailed guidance.

## WASM Implementation
WASM bindings are also provided for in-browser parsing of PDF bank statements. See [this guide](md/wasm.md) for an introductory guide on how to compile and use them.

You may also want to checkout [www.transtractor.net] to see these bindings in action, or self-host the [Transtractor Web Interface](https://github.com/transtractor/transtractor-web) from the source code.

## Supported Statements
See the documentation for a current list of [supported statements](https://transtractor-lib.readthedocs.io/en/latest/supported_statements.html). You may also
create your own parsing configuration files by following these [instructions](https://transtractor-lib.readthedocs.io/en/latest/configuration.html)
and loading it by:

```python
from transtractor import Parser

parser = Parser()
parser.load('my_config.json')
parser.parse('statement.pdf').to_csv('statement.csv')
```

## Developers
The following pages provide further information about how this package is built and developed:

* [Architecture Guide](md/architecture.md): Overview of key application components and design principles.
* [Developer Guide](md/develop.md): Reference page for core development and maintenance.
* [Contributor Guide](md/contribute.md): Extending the package to parse additional bank statements.
* [WASM Guide](md/wasm.md): Build and usage notes for the TypeScript/WASM package.

Please get involved or email gravytoast@pm.me if you have any questions.

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