DocLM - Intelligent Document Analysis
DocLM is a Python library that uses advanced AI to analyze any PDF document and generate comprehensive summary reports with smart analytics.
Features
- Multi-Format Support: Analyze PDF, DOCX, TXT, and more.
- Smart Summarization: AI-powered summaries that capture the essence of your documents.
- Detailed Analytics: Get key insights and statistics from your content.
- Google Colab Ready: Seamlessly integrate with Google Colab for cloud-based analysis.
How to Get Your API Token
- Run the backend server:
python app.py. - Open your browser to
http://127.0.0.1:5000. - Click "Get Started" and fill out the signup form.
- Your unique API token will be displayed and emailed to you.
Installation
pip install DocLM
Quick Start
from DocLM import DocumentAnalyzer
# Initialize the analyzer with your token
analyzer = DocumentAnalyzer(api_token="your_token_here")
# Analyze any PDF document
# Make sure you have a file named 'document.pdf' in the same directory
try:
report = analyzer.analyze("document.pdf")
# Get the smart analytics report
print("Summary:")
print(report.summary)
print("\nKey Insights:")
for insight in report.key_insights:
print(f"- {insight}")
except FileNotFoundError:
print("Error: 'document.pdf' not found. Please create a sample PDF to analyze.")
except Exception as e:
print(f"An error occurred: {e}")
Metadata
Release files for DocLM 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| doclm-1.0.1.tar.gz | 2.1 kB | Without provenance | Details for doclm-1.0.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| doclm-1.0.1-py3-none-any.whl | Python 3 | none | any | Details for doclm-1.0.1-py3-none-any.whl |
Total release size: 4.0 kB
Release files / doclm-1.0.1.tar.gz
| Download URL | doclm-1.0.1.tar.gz |
|---|---|
| Size | 2.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
6ad7eb799c346b1da7408ff9e48a52ae49f2d632c854108f2a5ed197ef164993
|
|
BLAKE2b-256 checksum How to use checksums |
ea2e6751c3a0fcb5ce0f353c4680a99a7262154b4f8e8157f8fed19506787054
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.14
|
Release files / doclm-1.0.1-py3-none-any.whl
| Download URL | doclm-1.0.1-py3-none-any.whl |
|---|---|
| Size | 1.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
61d8b501775556f5253b01bde5f92bb988a991d0bfdd41a2ac37c2fe91232c44
|
|
BLAKE2b-256 checksum How to use checksums |
5ca1dc9381b60524478d2e8134a88f96e52f41ee3e96c60afbb2df7f6e8fee8e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.14
|
Security for DocLM 1.0.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
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