Parse

Parse a document and extract its content and metadata.

yaml
type: "io.kestra.plugin.tika.Parse"

Extract text from a file.

yaml
id: tika_parse
namespace: company.team

inputs:
  - id: file
    type: FILE

tasks:
  - id: parse
    type: io.kestra.plugin.tika.Parse
    from: '{{ inputs.file }}'
    extractEmbedded: true
    store: false

Extract text from an image using OCR.

yaml
id: tika_parse
namespace: company.team

inputs:
  - id: file
    type: FILE

tasks:
  - id: parse
    type: io.kestra.plugin.tika.Parse
    from: '{{ inputs.file }}'
    ocrOptions:
      strategy: OCR_AND_TEXT_EXTRACTION
    store: true

Download and extract image metadata using Apache Tika

yaml
    id: parse-image-metadata-using-apache-tika
    namespace: company.team

    tasks:
      - id: get_image
        type: io.kestra.plugin.core.http.Download
        uri: https://kestra.io/blogs/2023-05-31-beginner-guide-kestra.jpg

      - id: tika
        type: io.kestra.plugin.tika.Parse
        from: "{{ outputs.get_image.uri }}"
        store: false
        contentType: TEXT
        ocrOptions:
          strategy: OCR_AND_TEXT_EXTRACTION

Download a PDF file and extract text from it using Apache Tika

yaml
    id: parse-pdf
    namespace: company.team

    tasks:
      - id: download_pdf
        type: io.kestra.plugin.core.http.Download
        uri: https://huggingface.co/datasets/kestra/datasets/resolve/main/pdf/app_store.pdf

      - id: parse_text
        type: io.kestra.plugin.tika.Parse
        from: "{{ outputs.download_pdf.uri }}"
        contentType: TEXT
        store: false

      - id: log_extracted_text
        type: io.kestra.plugin.core.log.Log
        message: "{{ outputs.parse_text.result.content }}"

Default XHTML

Possible Values

TEXTXHTMLXHTML_NO_HEADER

The content type of the extracted text.

Default false

Whether to extract the embedded document.

The file to parse.

Must be an internal storage URI.

Pebble expression referencing an Internal Storage URI e.g. {{ outputs.mytask.uri }}.

Default

{
  "strategy": "NO_OCR"
}

Custom options for OCR processing.

You need to install Tesseract to enable OCR processing.

Default true

Whether to store the data from the query result into an ion serialized data file in Kestra internal storage.

Format uri

Whether to enable image preprocessing.

Apache Tika will run preprocessing of images (rotation detection and image normalizing with ImageMagick) before sending the image to Tesseract if the user has included dependencies (listed below) and if the user opts to include these preprocessing steps.

Language used for OCR.

Default NO_OCR

Possible Values

AUTONO_OCROCR_ONLYOCR_AND_TEXT_EXTRACTION

OCR strategy to use for OCR processing.

You need to install Tesseract to enable OCR processing, along with Tesseract language pack.

SubType string

​Parse

Parse