--- description: Load data from text files. --- # Text File
Text File Loader Node

Text File Node in Agentflow V2

The Text File loader enables you to load and process content from various text-based file formats. It supports multiple file types and provides flexible options for text splitting and metadata handling. ## Features - Support for multiple text-based file formats - Multiple file loading capability - Text splitting support - Customizable metadata handling - Storage integration support - Base64 file handling - Multiple output formats ## Supported File Types The loader supports a wide range of text-based file formats: - Text files (.txt) - Web files (.html, .aspx, .asp, .css) - Programming languages: - C/C++ (.cpp, .c, .h) - C# (.cs) - Go (.go) - Java (.java) - JavaScript/TypeScript (.js, .ts) - PHP (.php) - Python (.py, .python) - Ruby (.rb, .ruby) - Rust (.rs) - Scala (.sc, .scala) - Solidity (.sol) - Swift (.swift) - Visual Basic (.vb) - Markup/Style: - CSS/LESS/SCSS (.css, .less, .scss) - Markdown (.md, .markdown) - XML (.xml) - LaTeX (.tex, .ltx) - Other: - Protocol Buffers (.proto) - SQL (.sql) - RST (.rst) ## Inputs ### Required Parameters - **Txt File**: One or more text files to process - Accepts files from local upload or storage - Supports multiple file selection ### Optional Parameters - **Text Splitter**: A text splitter to process the extracted content - **Additional Metadata**: JSON object with additional metadata to add to documents - **Omit Metadata Keys**: Comma-separated list of metadata keys to exclude - Format: `key1, key2, key3.nestedKey1` - Use * to remove all default metadata ## Outputs - **Document**: Array of document objects containing: - metadata: File metadata and custom fields - pageContent: Extracted text content - **Text**: Concatenated string of all extracted content ## Document Structure Each document contains: - **pageContent**: The main content from the text file - **metadata**: - Default file metadata - Additional custom metadata (if specified) - Filtered metadata (based on omitted keys) ## Usage Examples ### Single File Processing ```json { "txtFile": "example.txt", "metadata": { "source": "local", "category": "documentation" } } ``` ### Multiple Files Processing ```json { "txtFile": ["doc1.txt", "doc2.md", "code.py"], "metadata": { "batch": "docs-2024", "processor": "text-loader" }, "omitMetadataKeys": "source, timestamp" } ``` ## Storage Integration The loader supports two file source modes: 1. **Direct Upload**: Files uploaded directly through the interface 2. **Storage Integration**: Files accessed through the storage system - Format: `FILE-STORAGE::filename.txt` - Supports organization and flow-specific storage ## Notes - Handles both single and multiple file processing - Supports base64 encoded file content - Automatically handles different file encodings - Memory-efficient processing of large files - Preserves file metadata when needed - Supports text splitting for large documents - Handles escape characters in output text - Integrates with organization-specific storage > **Info:** > This section is a work in progress. We appreciate any help you can provide in completing this section. Please check our [Contribution Guide](broken-reference) to get started.