- Explore demo pipelines – Open preloaded documents and see how parsing, extraction, and editing work.
- Upload your own files – Parse PDFs or scans and view the detected text, tables, and figures.
- Test extractions – Create or generate schemas and watch the output update in real time.
1. Get started
Visit studio.reducto.ai.You can explore demo pipelines immediately. To upload your own documents, sign up or log in.
If you’re part of an organization, your administrator must enable Studio access.
2. Explore a Parse → Extract pipeline
Goal: Parse a document and extract structured data.- Open the “Finance” demo.
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Select the Parse tab. You’ll see the document with detected sections, bounding boxes, and figures.

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Switch to the Extract tab. You’ll see the extracted data, linked to bounding boxes inside of the document on the left. Clicking on “Configurations” will show you the schema used to define the data extracted.

3. Explore an Edit pipeline
Goal: Fill out a form automatically.- Open the “SS-4” demo.
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Select the Configurations tab to see the edit instructions.

- Click Results to view the filled-out form.

4. Upload your own file
Goal: Create your own pipeline and parse your own document.1
Sign up or log into Studio
Sign up or log in to upload your own documents to Studio.
2
Create a Parse pipeline
Hit Create pipeline, then choose Parse for processor type. Create a name, which can be edited later.

3
Upload a document
Click to upload or drag and drop a file to get started. We accept many filetypes, including PDF, DOCX, images, and more. You can download a sample PDF from a demo pipeline if you don’t have one on hand.

4
Click Run to parse
Running the Parse pipeline without any configuration adjustments will use our default settings.

5
Open the Result tab to view parsed text and structure
The results tab displays the original document with bounding box overlays with our Parse output side-by-side.

6
Deploy your pipeline
Hit Deploy in order to create a pipeline ID and see invocation code. This pipeline ID is associated with your Studio pipeline that can be called directly in your production code.
