.json
file to your local machine.
This approach enables rapid, local, run-adjust-repeat prototyping of end-to-end Unstructured ETL+ workflows with a full range of Unstructured features.
After you get the results you want, you can then attach remote source and destination connectors to both ends of your existing workflow to begin processing remote files and data at scale in production.
To run this quickstart, you will need a local file with a size of 10 MB or less and one of the following file types:
File type |
---|
.bmp |
.csv |
.doc |
.docx |
.email |
.epub |
.heic |
.html |
.jpg |
.md |
.odt |
.org |
.pdf |
.pot |
.potm |
.ppt |
.pptm |
.pptx |
.rst |
.rtf |
.sgl |
.tiff |
.txt |
.tsv |
.xls |
.xlsx |
.xml |
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Create a workflow
Process a local file
.json
file to your local machine by clicking Download full JSON.Add more nodes to the workflow
Next steps
.json
files in a file or object store, or as records in a database or vector store.
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Set the source (input) location
Set the destination (output) location
Define the workflow
Process the documents
Monitor the processing job
View the processed data