# LLMWhisperer Python Client
[](https://pypi.org/project/llmwhisperer-client/)
[
](https://pypi.org/project/llmwhisperer-client/)
[](https://pypi.org/project/llmwhisperer-client/)
LLMs are powerful, but their output is as good as the input you provide. LLMWhisperer is a technology that presents data from complex documents (different designs and formats) to LLMs in a way that they can best understand. LLMWhisperer features include Layout Preserving Mode, Auto-switching between native text and OCR modes, proper representation of radio buttons and checkboxes in PDF forms as raw text, among other features. You can now extract raw text from complex PDF documents or images without having to worry about whether the document is a native text document, a scanned image or just a picture clicked on a smartphone. Extraction of raw text from invoices, purchase orders, bank statements, etc works easily for structured data extraction with LLMs powered by LLMWhisperer's Layout Preserving mode.
Refer to the client documentation for more information: [LLMWhisperer Client Documentation](https://docs.unstract.com/llmwhisperer/llm_whisperer/python_client/llm_whisperer_python_client_intro/)
## A note on versions
There are two versions of the client library available in this package:
**LLMWhispererClient**: This is the legacy version of the client library and is recommended for supporting older apps only. This version will be deprecated in the future.
**LLMWhispererClientV2**: This is the latest version of the client library and is recommended for all new users. It is mandatory for all users who are using LLMWhisperer API version 2.0.0 and above (All customers who have signed up after 5th November 2024).
Documentation for both versions are available [here](https://docs.unstract.com/llmwhisperer/)
## Questions and Feedback
On Slack, [join great conversations](https://join-slack.unstract.com/) around LLMs, their ecosystem and leveraging them to automate the previously unautomatable!
[LLMWhisperer Playground](https://pg.llmwhisperer.unstract.com/): Test drive LLMWhisperer with your own documents. No sign up needed!
[LLMWhisperer developer documentation and playground](https://dev-pg.llmwhisperer.unstract.com/): Learn more about LLMWhisperer and its API.
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"description": "# LLMWhisperer Python Client\n\n[](https://pypi.org/project/llmwhisperer-client/)\n[\n](https://pypi.org/project/llmwhisperer-client/)\n[](https://pypi.org/project/llmwhisperer-client/)\n\nLLMs are powerful, but their output is as good as the input you provide. LLMWhisperer is a technology that presents data from complex documents (different designs and formats) to LLMs in a way that they can best understand. LLMWhisperer features include Layout Preserving Mode, Auto-switching between native text and OCR modes, proper representation of radio buttons and checkboxes in PDF forms as raw text, among other features. You can now extract raw text from complex PDF documents or images without having to worry about whether the document is a native text document, a scanned image or just a picture clicked on a smartphone. Extraction of raw text from invoices, purchase orders, bank statements, etc works easily for structured data extraction with LLMs powered by LLMWhisperer's Layout Preserving mode. \n\nRefer to the client documentation for more information: [LLMWhisperer Client Documentation](https://docs.unstract.com/llmwhisperer/llm_whisperer/python_client/llm_whisperer_python_client_intro/)\n\n## A note on versions\n\nThere are two versions of the client library available in this package:\n\n**LLMWhispererClient**: This is the legacy version of the client library and is recommended for supporting older apps only. This version will be deprecated in the future.\n\n**LLMWhispererClientV2**: This is the latest version of the client library and is recommended for all new users. It is mandatory for all users who are using LLMWhisperer API version 2.0.0 and above (All customers who have signed up after 5th November 2024).\n\nDocumentation for both versions are available [here](https://docs.unstract.com/llmwhisperer/)\n\n\n## Questions and Feedback\n\nOn Slack, [join great conversations](https://join-slack.unstract.com/) around LLMs, their ecosystem and leveraging them to automate the previously unautomatable!\n\n[LLMWhisperer Playground](https://pg.llmwhisperer.unstract.com/): Test drive LLMWhisperer with your own documents. No sign up needed!\n\n[LLMWhisperer developer documentation and playground](https://dev-pg.llmwhisperer.unstract.com/): Learn more about LLMWhisperer and its API.\n",
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