Category
Documents and productivity with AI: summarize a PDF, grade papers
A PDF dropped on the canvas is read in full by a Text node: summarized in five points then illustrated, or graded paper by paper with a class report. These workflows start from a document and return useful text, sometimes an image.
Every page shows the starting document and the models' actual answers, unretouched, with the reading cost. The text produced is editable and reusable in the other nodes of the canvas.
What you can do here
- Get the essentials out of a long document
- Grade a stack of scanned papers
- Go from a written brief to a first visual
- Compare two language models on the same document
The tools in this category 2 tools
Summarize a PDF
The document summarized then illustrated
A PDF dropped on the canvas, two Text nodes that read it in full: one summarizes it in five points, the other turns it into an image prompt, and an Image node renders it. The demo brief is included. The whole workflow is visible without an account.
Grade student papers
Every answer judged, a mark proposed
A PDF of student papers dropped on the canvas, two Text nodes that read it in full: one grades paper by paper, what is right, what is wrong, the mistake and a proposed mark; the other writes the class report with remediation exercises. The three demo papers are included. The whole workflow is visible without an account.
Frequently asked questions
Which documents are accepted?
Text PDFs, up to three per node. A scanned image must stay legible: the model reads what it sees, without dedicated character recognition.
Does Imaginode keep the document?
It is stored in your project, like any imported media, and deleted with it. It is not used to train a model.