Documind
is an advanced document processing tool that leverages AI to extract structured data from PDFs. It is built to handle PDF conversions, extract relevant information, and format results as specified by customizable schemas.
This repo was built on top of Zerox - https://github.com/getomni-ai/zerox. The MIT license from Zerox is included in the core folder and is also mentioned in the root license file.
- Converts PDFs to images for detailed AI processing.
- Uses OpenAI’s API to extract and structure information.
- Allows users to specify extraction schemas for various document formats.
- Designed for flexible deployment on local or cloud environments.
A demo of the documind hosted version will be available soon for you to try out! The hosted version provides a seamless experience with fully managed APIs, so you can skip the setup and start extracting data right away.
For full access to the hosted service, please request access and we’ll get you set up.
Before using documind
, ensure the following software dependencies are installed:
- Ghostscript:
documind
relies on Ghostscript for handling certain PDF operations. - GraphicsMagick: Required for image processing within document conversions.
Install both on your system before proceeding:
# On macOS
brew install ghostscript graphicsmagick
# On Debian/Ubuntu
sudo apt-get update
sudo apt-get install -y ghostscript graphicsmagick
Ensure Node.js (v18+) and NPM are installed on your system.
You can install documind
via npm:
npm install documind
documind
requires an .env
file to store sensitive information like your OpenAI API key.
Create an .env
file in your project directory and add the following:
OPENAI_API_KEY=your_openai_api_key
First, import documind
and define your schema. The schema outline what information documind
should look for in each document. Here’s a quick setup to get started.
The schema is an array of objects where each object defines:
- name: Field name to extract.
- type: Data type (e.g.,
"string"
,"number"
,"array"
,"object"
). - description: Description of the field.
- children (optional): For arrays and objects, define nested fields.
Example schema for a bank statement:
const schema = [
{
name: "accountNumber",
type: "string",
description: "The account number of the bank statement."
},
{
name: "openingBalance",
type: "number",
description: "The opening balance of the account."
},
{
name: "transactions",
type: "array",
description: "List of transactions in the account.",
children: [
{
name: "date",
type: "string",
description: "Transaction date."
},
{
name: "creditAmount",
type: "number",
description: "Credit Amount of the transaction."
},
{
name: "debitAmount",
type: "number",
description: "Debit Amount of the transaction."
},
{
name: "description",
type: "string",
description: "Transaction description."
}
]
},
{
name: "closingBalance",
type: "number",
description: "The closing balance of the account."
}
];
Use documind
to process a PDF by passing the file URL and the schema.
import { extract } from 'documind';
const runExtraction = async () => {
const result = await extract({
file: 'https://bank_statement.pdf',
schema
});
console.log("Extracted Data:", result);
};
runExtraction();
Here’s an example of what the extracted result might look like:
{
"success": true,
"pages": 1,
"data": {
"accountNumber": "100002345",
"openingBalance": 3200,
"transactions": [
{
"date": "2021-05-12",
"creditAmount": null,
"debitAmount": 100,
"description": "transfer to Tom"
},
{
"date": "2021-05-12",
"creditAmount": 50,
"debitAmount": null,
"description": "For lunch the other day"
},
{
"date": "2021-05-13",
"creditAmount": 20,
"debitAmount": null,
"description": "Refund for voucher"
},
{
"date": "2021-05-13",
"creditAmount": null,
"debitAmount": 750,
"description": "May's rent"
}
],
"closingBalance": 2420
},
"fileName": "bank_statement.pdf"
}
Documind comes with built-in templates for extracting data from popular document types like invoices, bank statements, and more. These templates make it easier to get started without defining your own schema.
List available templates
You can list all available templates using the templates.list
function.
import { templates } from 'documind';
const templates = templates.list();
console.log(templates); // Logs all available template names
Use a template
To use a template, simply pass its name to the extract
function along with the file you want to extract data from. Here's an example:
import { extract } from 'documind';
const runExtraction = async () => {
const result = await extract({
file: 'https://bank_statement.pdf',
template: 'bank_statement'
});
console.log("Extracted Data:", result);
};
runExtraction();
Read the templates documentation for more details on templates and how to contribute yours.
Read more on how to use local models here.
Contributions are welcome! Please submit a pull request with any improvements or features.
This project is licensed under the AGPL v3.0 License.