---
title: Upload Files as Text
icon: Upload
description: Upload files to include their full content in conversations without requiring OCR configuration.
---

Upload as Text allows you to upload documents and have their full content included directly in your conversation with the AI. This feature works out-of-the-box using text parsing methods, with optional OCR enhancement for improved extraction quality.

## Overview

- **No OCR required** - Uses text parsing with fallback methods by default
- **Enhanced by OCR** - If OCR is configured, extraction quality improves for images and scanned documents
- **Full document content** - Entire file content available to the model in the conversation
- **Works with all models** - No special tool capabilities needed
- **Token limit control** - Configurable via `fileTokenLimit` to manage context usage

## The `context` Capability

Upload as Text is controlled by the `context` capability in your LibreChat configuration.

```yaml
# librechat.yaml
endpoints:
  agents:
    capabilities:
      - "context"  # Enables "Upload as Text"
```

**Default:** The `context` capability is included by default. You only need to explicitly add it if you've customized the capabilities list.

## How It Works

When you upload a file using "Upload as Text":

1. LibreChat checks the file MIME type against `fileConfig` patterns
2. **Processing method determined by precedence: OCR > STT > text parsing**
3. If file matches `fileConfig.ocr.supportedMimeTypes` AND OCR is configured: **Use OCR**
4. If file matches `fileConfig.stt.supportedMimeTypes` AND STT is configured: **Use STT**
5. If file matches `fileConfig.text.supportedMimeTypes`: **Use text parsing**
6. Otherwise: **Fallback to text parsing**
7. Text is truncated to `fileConfig.fileTokenLimit` before prompt construction
8. Full extracted text included in conversation context

### Text Processing Methods

**Text Parsing (Default):**
- Uses a robust parsing library (same as the RAG API)
- Handles PDFs, Word docs, text files, code files, and more
- No external service required
- Works immediately without configuration
- Fallback method if no other match

**OCR Enhancement (Optional):**
- Improves extraction from images, scanned documents, and complex PDFs
- Requires OCR service configuration
- Automatically used for files matching `fileConfig.ocr.supportedMimeTypes` when available
- See [OCR Configuration](/docs/features/ocr)

**STT Processing (Optional):**
- Converts audio files to text
- Requires STT service configuration
- See [Speech-to-Text Configuration](/docs/configuration/librechat_yaml/object_structure/file_config#stt)

## Usage

1. Click the attachment icon in the chat input
2. Select "Upload as Text" from the menu
3. Choose your file
4. File content is extracted and included in your message

**Note:** If you don't see "Upload as Text", ensure the `context` capability is enabled in your [`endpoints.agents.capabilities` configuration](/docs/configuration/librechat_yaml/object_structure/agents#capabilities).

## Configuration

### Basic Configuration

The `context` capability is enabled by default. No additional configuration is required for basic text parsing functionality.

### File Handling Configuration

Control text processing behavior with `fileConfig`:

```yaml
fileConfig:
  # Maximum tokens from text files before truncation
  fileTokenLimit: 100000
  
  # Files matching these patterns use OCR (if configured)
  ocr:
    supportedMimeTypes:
      - "^image/(jpeg|gif|png|webp|heic|heif)$"
      - "^application/pdf$"
      - "^application/vnd\\.openxmlformats-officedocument\\.(wordprocessingml\\.document|presentationml\\.presentation|spreadsheetml\\.sheet)$"
      - "^application/vnd\\.ms-(word|powerpoint|excel)$"
      - "^application/epub\\+zip$"
  
  # Files matching these patterns use text parsing
  text:
    supportedMimeTypes:
      - "^text/(plain|markdown|csv|json|xml|html|css|javascript|typescript|x-python|x-java|x-csharp|x-php|x-ruby|x-go|x-rust|x-kotlin|x-swift|x-scala|x-perl|x-lua|x-shell|x-sql|x-yaml|x-toml)$"
  
  # Files matching these patterns use STT (if configured)
  stt:
    supportedMimeTypes:
      - "^audio/(mp3|mpeg|mpeg3|wav|wave|x-wav|ogg|vorbis|mp4|x-m4a|flac|x-flac|webm)$"
```

**Processing Priority:** OCR > STT > text parsing > fallback

For more details, see [File Config Object Structure](/docs/configuration/librechat_yaml/object_structure/file_config).

### Optional: Configure OCR for Enhanced Extraction

OCR is **not required** but enhances extraction quality when configured:

```yaml
# librechat.yaml
ocr:
  strategy: "mistral_ocr"
  apiKey: "${OCR_API_KEY}"
  baseURL: "https://api.mistral.ai/v1"
  mistralModel: "mistral-ocr-latest"
```

See [OCR Configuration](/docs/features/ocr) for full details.

## When to Use Each Upload Option

LibreChat offers three different ways to upload files, each suited for different use cases:

### Use "Upload as Text" when:
- ✅ You want the AI to read the complete document content
- ✅ Working with smaller files that fit in context
- ✅ You need "chat with files" functionality
- ✅ Using models without tool capabilities
- ✅ You want direct content access without semantic search

### Use "Upload for File Search" when:
- ✅ Working with large documents or multiple files
- ✅ You want to optimize token usage
- ✅ You need semantic search for relevant sections
- ✅ Building knowledge bases
- ✅ The `file_search` capability is enabled and toggled ON

### Use standard "Upload Files" when:
- ✅ Using vision models to analyze images
- ✅ Using code interpreter to execute code
- ✅ Files don't need text extraction

## Supported File Types

### Text Files (text parsing)
- Plain text, Markdown, CSV, JSON, XML, HTML
- Programming languages (Python, JavaScript, Java, C++, etc.)
- Configuration files (YAML, TOML, INI, etc.)
- Shell scripts, SQL files

### Documents (text parsing or OCR)
- PDF documents
- Word documents (.docx, .doc)
- PowerPoint presentations (.pptx, .ppt)
- Excel spreadsheets (.xlsx, .xls)
- EPUB books

### Images (OCR if configured)
- JPEG, PNG, GIF, WebP
- HEIC, HEIF (Apple formats)
- Screenshots, photos of documents, scanned images

### Audio (STT if configured)
- MP3, WAV, OGG, FLAC
- M4A, WebM
- Voice recordings, podcasts

## File Processing Priority

LibreChat processes files based on MIME type matching with the following **priority order**:

1. **OCR** - If file matches `ocr.supportedMimeTypes` AND OCR is configured
2. **STT** - If file matches `stt.supportedMimeTypes` AND STT is configured
3. **Text Parsing** - If file matches `text.supportedMimeTypes`
4. **Fallback** - Text parsing as last resort

### Processing Examples

**PDF file with OCR configured:**
- Matches `ocr.supportedMimeTypes`
- **Uses OCR** to extract text
- Better quality for scanned PDFs

**PDF file without OCR configured:**
- Matches `text.supportedMimeTypes` (fallback)
- **Uses text parsing** library
- Works well for digital PDFs

**Python file:**
- Matches `text.supportedMimeTypes`
- **Uses text parsing** (no OCR needed)
- Direct text extraction

**Audio file with STT configured:**
- Matches `stt.supportedMimeTypes`
- **Uses STT** to transcribe

## Token Limits

Files are truncated to `fileTokenLimit` tokens to manage context window usage:

```yaml
fileConfig:
  fileTokenLimit: 100000  # Default: 100,000 tokens
```

- Truncation happens at runtime before prompt construction
- Helps prevent exceeding model context limits
- Configurable based on your needs and model capabilities
- Larger limits allow more content but use more tokens

## Comparison with Other File Features

| Feature | Capability | Requires Service | Persistence | Best For |
|---------|-----------|------------------|-------------|----------|
| **Upload as Text** | `context` | No (enhanced by OCR) | Single conversation | Temporary document questions |
| **Agent File Context** | `context` | No (enhanced by OCR) | Agent system instructions | Specialized agent knowledge |
| **File Search** | `file_search` | Yes (vector DB) | Stored in vector store | Large documents, semantic search |

### Upload as Text vs Agent File Context

**Upload as Text (`context`):**
- Available in any chat conversation
- Content included in current conversation only
- No OCR service required (text parsing by default)
- Best for one-off document questions

**Agent File Context (`context`):**
- Only available in Agent Builder
- Content stored in agent's system instructions
- No OCR service required (text parsing by default)
- Best for creating specialized agents with persistent knowledge
- See [OCR for Documents](/docs/features/ocr)

### Upload as Text vs File Search

**Upload as Text (`context`):**
- Full document content in conversation context
- Direct access to all text
- Token usage: entire file (up to limit)
- Works without RAG API configuration

**File Search (`file_search`):**
- Semantic search over documents
- Returns relevant chunks via tool use
- Token usage: only relevant sections
- Requires RAG API and vector store configuration
- See [RAG API](/docs/features/rag_api)

## Example Use Cases

- **Document Analysis**: Upload contracts, reports, or articles for analysis
- **Code Review**: Upload source files for review and suggestions
- **Data Extraction**: Extract information from structured documents
- **Translation**: Translate document contents
- **Summarization**: Summarize articles, papers, or reports
- **Research**: Discuss academic papers or technical documentation
- **Troubleshooting**: Share log files for analysis
- **Content Editing**: Review and edit written content
- **Data Processing**: Work with CSV or JSON data files

## Troubleshooting

### "Upload as Text" option not appearing

**Solution:** Ensure the `context` capability is enabled:

```yaml
endpoints:
  agents:
    capabilities:
      - "context"  # Add this if missing
```

### File content not extracted properly

**Solutions:**
1. Check if file type is supported (matches `fileConfig` patterns)
2. For images/scanned documents: Configure OCR for better extraction
3. For audio files: Configure STT service
4. Verify file is not corrupted

### Content seems truncated

**Solution:** Increase the token limit:

```yaml
fileConfig:
  fileTokenLimit: 150000  # Increase as needed
```

### Poor extraction quality from images

**Solution:** Configure OCR to enhance extraction:

```yaml
ocr:
  strategy: "mistral_ocr"
  apiKey: "${OCR_API_KEY}"
```

See [OCR Configuration](/docs/configuration/librechat_yaml/object_structure/ocr) for details.

## Related Features

- [File Context](/docs/features/agents#file-context) - Files used as Agent Context
- [OCR for Documents](/docs/features/ocr) - Learn about and configure OCR services
- [File Configuration](/docs/configuration/librechat_yaml/object_structure/file_config) - Configure file handling

---

Upload as Text provides a simple, powerful way to work with documents in LibreChat without requiring complex configuration or external services.