Unified access solution for multimodal processing
When you need to parse PDF/images and other unstructured data, developers often encounter model support degree is not the same, pre-processing is cumbersome and so on. easy-llm-cli through the standardization of the process to solve:
1. Format compatibility layer：
The tool's built-in MIME type detection handles this automatically:
- PDF: Using pdf-lib library to extract text/forms
- Image: Pre-processing via Tesseract OCR engine
- CSV/Excel: to Markdown table formatting
2. Generic modalities of invocation：
uniform use-fparameter specifies the file:
elc "提取关键信息" -f document.pdf
elc "描述图片内容" -f screenshot.png
3. Model adaptation strategies：
The tool is automatically based on the currently configured model:
- For models that do not support multimodality (e.g., DeepSeek-R1): extract text locally before sending it
- For native multimodal models (e.g. Gemini): direct file binary transfer
Troubleshooting Guide：
- When a parsing failure occurs, runelc check-compatibility -f 文件Detection support
- For complex PDFs, it is recommended to first usepdftotextpreprocessing
- It is recommended to keep the image resolution between 300-600 DPI
This solution saves 90% adaptation workload compared to self-developed parsing logic, and supports 17 common file formats.
This answer comes from the articleeasy-llm-cli: enable Gemini CLI support for calling multiple large language models》
