Overview
An overview of the basics to get started
Getting started with Cohesive's extraction workflows involves three concepts:
Templates: these represent the expected output to be extracted from uploaded files. Cohesive supports a robust set of output fields, including mathematical or date-based expressions (e.g., adding 30 days to a date from a specific field in the document)
Extraction: this represents the action of taking one or more uploaded files, and running extractions based on the chosen template. The status of extractions will be shown on the
jobs
pageExport: this represents the action of exporting the data out of Cohesive, such as exporting to a
CSV
or syncing toNetsuite
orGoogle Sheets
. Exports can be triggered on thejobs
page, and you have the option of adjusting the data before completing the export.
Getting started: example workflow (export to CSV)
Step 1: uploading the files
To upload files (you can upload in bulk), navigate to the Files
page, and press Upload files
. Choose the files you wish to upload, and press Upload
. Once the files are successfully uploaded, you will see them on the table
Step 2: running a bulk extraction
Note that this assumes that you've already set up a template. See the templates page for more information about setting up a template.
Select the files you wish to extract at once (using the checkboxes on the left-most column of the table), and press Bulk extract
. Enter a name for the bulk extraction job, and choose a template
to use for the bulk extraction.
The results of the bulk extraction will show up on the jobs
page as a row in the table.
Step 3: export to CSV
In the jobs
table, press the Export
button on the rightmost column of the table. You can check the extracted data by pressing edit
for a specific file, and adjust as necessary on the right table.
By default, if a template has a List
field, then each entry within the List
field will result in a new row in the CSV export, with the other fields being repeated for each row.
To prevent this, manually clear out the value (in the rightmost table) for the List
field for the first file. For example in the image above, if accountNumber
was hypothetically a List
field and we DIDN'T want a separate row for each entry, then delete the 607B5E0 value.
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