polaris-ai-datainsight
This package is Python SDK for Polaris AI DataInsight.
Polaris AI DataInsight is a document parser that extracts document elements (text, images, complex tables, charts, etc.) from various file formats into structured JSON, making them easy to integrate into RAG systems.
- Supported document formats : docx, xlsx, pptx, hwpx, hwp
- Supported elements types : text, table, image, chart, shape, header, footer, caption
Installation and Setup
You need to install a python package:
pip install -U polaris-ai-datainsight
And you should configure credentials by setting the following environment variables:
export POLARIS_AI_DATA_INSIGHT_API_KEY="your-api-key"
Refer to here how to get an Polaris AI DataInsight API key.
Document Extractor
Set the file path to extract and the directory path to store resource files included in the file:
from polaris_ai_datainsight import PolarisAIDataInsightExtractor
loader = PolarisAIDataInsightExtractor(
file_path="path/to/file",
resources_dir="path/to/dir"
)
Extract document data:
dict_data = loader.extract()
Metadata
Release files for polaris-ai-datainsight 1.0.0
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 | |
|---|---|---|---|---|
| polaris_ai_datainsight-1.0.0.tar.gz | 5.4 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| polaris_ai_datainsight-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.7 kB
Release files / polaris_ai_datainsight-1.0.0.tar.gz
| Download URL | polaris_ai_datainsight-1.0.0.tar.gz |
|---|---|
| Size | 5.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
18dfe2a74e5ac5af5a8f861f1a5c2fb2fba9cd2f5b1d226e1ef077d70f6141c3
|
|
BLAKE2b-256 checksum How to use checksums |
e67ec60a1a778ba8343e30d50d2c03d2c18e11e01f34438b97a64a4f5abee0d8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.1.3 CPython/3.11.11 Linux/5.15.153.1-microsoft-standard-WSL2
|
Release files / polaris_ai_datainsight-1.0.0-py3-none-any.whl
| Download URL | polaris_ai_datainsight-1.0.0-py3-none-any.whl |
|---|---|
| Size | 7.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e205a544eb69b079ee06c249f5cc0301ad419c4d6f790cf663c5dd9818b0f0ec
|
|
BLAKE2b-256 checksum How to use checksums |
c9930bc72e26b9e3627090ff14301eb05a7c11ce437c23c73c49aff3f05387e1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.1.3 CPython/3.11.11 Linux/5.15.153.1-microsoft-standard-WSL2
|
Security for polaris-ai-datainsight 1.0.0
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.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.