Zaptiva
pdf2data

pdf2data

Turn a Quickbase App Summary PDF (or any PDF) into clean, de-noised text and structured JSON of its tables, fields, roles, and features — ready to paste into your AI coding assistant.

🔒 Runs 100% in your browser. Your PDF is never uploaded.
Drop a PDF here or click to choose · parsed locally; the file never leaves this device

Each table is emitted as compact cols + rows arrays instead of one labeled object per field. Same data, far fewer repeated keys, so it uses noticeably fewer tokens, which helps it fit an AI context window. Leave it off for the more human-readable object-per-field format.

How to use it — and why it matters for Quickbase + AI

Quickbase can export an App Summary as a PDF: a full description of your app's tables, fields, field types, constraints, relationships, roles, and features. It is the closest thing to a schema dump that Quickbase gives you. The problem is the PDF is noisy and token-heavy, so pasting it raw into an AI wastes context and confuses the model. pdf2data cleans it up and structures it.

1Export from Quickbase

In your app: Settings → App management → App Summary, then print/save it as a PDF.

2Drop it here

It is parsed in your browser. PDF.js reads the page layout; nothing is sent anywhere.

3Pick what you need

Get clean text, or switch to Structured JSON and select just the tables that matter to trim tokens.

4Feed your AI

Copy or download, then paste into Claude, ChatGPT, or your IDE agent as schema context.

Built for vibe coding. When you build Quickbase formulas, pipelines, or apps with an AI assistant, the model needs to know your real schema — exact table and field names, types, and relationships — or it invents them. Handing it clean, structured App Summary data means the formulas and code it writes actually match your app. The token estimates and per-table selection let you fit just the relevant slice into the model's context window.

Your schema stays on your machine

An App Summary can describe your entire data model, which is often sensitive. pdf2data is a fully client-side tool: the PDF is read and parsed entirely in this browser tab using self-hosted PDF.js. Your PDF and its parsed schema are never uploaded. The only thing we collect is the contact information you type when you download the structured JSON (first name, last name, company, email), so we know who is using the tool and can help if you want it. Clean text export and copy are completely free. Your details are remembered in this browser so you are not asked again. You can confirm the rest yourself: open your browser's Network tab and watch that the PDF itself is never sent.

License (MIT)
pdf2data is free and open source under the MIT License. MIT License Copyright (c) 2026 Zaptiva Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.