# Parse Image

Convert text and visual content in images into document records for extraction, text processing, and knowledge base indexing.

Use this node for receipt screenshots, product images, or scans. Captions describe images in text. To index the images themselves, use [Image Embedding](image-embedding.md).

## Configure image parsing

Bind image `sources` from [Read MOI Volume](../data-io/read-volume.md). File references must point to actual images.

| Setting | Description |
| --- | --- |
| Image processing methods | `ocr` extracts text; `caption` generates descriptions. Both are enabled by default |
| Caption language | Language of the description; configuration default: `zh` |
| VLM OCR model | Vision-language model used for OCR and captions |

Choose OCR for receipt text, captions for visual descriptions, or both to include both kinds of content.

## Use the output

The main output is `documents`, with type `image` and source metadata. Use `text` for plain text; this field is omitted when empty.

Pass the full document array to extraction or indexing to retain source information.

## Example: extract receipt fields

Flow: Read MOI Volume → Parse Image → Information Extraction.

Choose OCR, bind `documents` to Information Extraction, and define receipt number, date, and amount in its schema. Parse Image supplies the text; Information Extraction produces the structured fields.

## Related pages

- [Variables and data flow](../../variables-and-data.md)
- [Run and debug](../../run-debug.md)