Use Nanonets OCR with AI Agents

It-operation-apps

Nanonets OCR is an optical character recognition (OCR) tool that can extract text from images and documents. It uses deep learning models to provide accurate text extraction capabilities.

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🔗 Connect and Use Nanonets OCR

1. 🔑 Connect your Nanonets OCR acc

2. ✅ Select an action

3. 🚀 Go live with the agent

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API actions for Nanonets OCR for AI assitants/agents

Language

PYTHON

Framework

Upload Document

Upload a document to Nanonets OCR for processing

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.UPLOAD_DOCUMENT])

Perform OCR

Execute OCR on an uploaded document

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.PERFORM_OCR])

Get OCR Results

Retrieve the results of a completed OCR process

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.GET_OCR_RESULTS])

Create Model

Create a new OCR model in Nanonets

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CREATE_MODEL])

Train Model

Train an existing OCR model with new data

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.TRAIN_MODEL])

Delete Model

Remove an OCR model from Nanonets

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DELETE_MODEL])

List Models

Get a list of all OCR models in your Nanonets account

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.LIST_MODELS])

Update Model

Modify an existing OCR model's parameters or settings

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.UPDATE_MODEL])

Predict Using Model

Use a specific model to perform OCR on a document

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.PREDICT_USING_MODEL])

Extract Tables

Extract tabular data from a document using OCR

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.EXTRACT_TABLES])

Extract Text

Extract plain text from a document using OCR

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.EXTRACT_TEXT])

Batch Process

Process multiple documents in a single OCR request

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.BATCH_PROCESS])

Get Processing Status

Check the status of an ongoing OCR processing task

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.GET_PROCESSING_STATUS])

Export Results

Export OCR results in various formats (CSV, JSON, etc.)

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.EXPORT_RESULTS])

Set API Key

Configure the API key for accessing Nanonets OCR services

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.SET_API_KEY])

OCR Completed

Triggered when an OCR process is finished

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.OCR_COMPLETED])

Model Training Completed

Triggered when a model finishes training

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.MODEL_TRAINING_COMPLETED])

New Model Created

Triggered when a new OCR model is created

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.NEW_MODEL_CREATED])

Model Deleted

Triggered when an OCR model is deleted

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.MODEL_DELETED])

Processing Error

Triggered when an error occurs during OCR processing

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.PROCESSING_ERROR])

Quota Exceeded

Triggered when the OCR usage quota is exceeded

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.QUOTA_EXCEEDED])

New Document Uploaded

Triggered when a new document is uploaded for OCR

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.NEW_DOCUMENT_UPLOADED])

Batch Processing Completed

Triggered when a batch OCR process is finished

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.BATCH_PROCESSING_COMPLETED])

API Key Changed

Triggered when the API key for Nanonets OCR is updated

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.API_KEY_CHANGED])

Low Confidence Results

Triggered when OCR results have low confidence scores

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.LOW_CONFIDENCE_RESULTS])

Model Performance Alert

Triggered when a model's performance drops below a threshold

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.MODEL_PERFORMANCE_ALERT])

New Feature Available

Triggered when Nanonets adds a new OCR feature

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.NEW_FEATURE_AVAILABLE])

Account Status Change

Triggered when there's a change in the account status

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.ACCOUNT_STATUS_CHANGE])

Scheduled Maintenance

Triggered when scheduled maintenance is announced

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.SCHEDULED_MAINTENANCE])

Data Export Completed

Triggered when an export of OCR results is completed

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DATA_EXPORT_COMPLETED])

Frequently asked questions

What is Composio.dev?

Composio.dev is a platform for building AI applications, designed to make the process of developing AI solutions super easy and fun! It provides a comprehensive set of tools and libraries that simplify the process of developing AI solutions, allowing you to focus on the creative aspects of your project without getting bogged down by the technical details.

How does Composio.dev support Nanonets OCR?

Composio.dev seamlessly integrates with Nanonets OCR, allowing you to leverage its capabilities within the Composio.dev platform. You can utilize Nanonets OCR to call functions across various platforms, including Google, GitHub, and others, making it a breeze to incorporate different services into your AI applications. Additionally, it supports user authentication via OAuth2 and can work in conjunction with other popular frameworks like LangChain and CrewAI, giving you the flexibility to build truly innovative AI solutions.

What models can I use with Nanonets OCR?

With Nanonets OCR, you have access to a wide range of state-of-the-art language models, including GPT-4o (OpenAI), GPT-3.5 (OpenAI), GPT-4 (OpenAI), Claude (Anthropic), PaLM (Google), LLaMA and LLaMA 2 (Meta), Gemini, and many others. This flexibility allows you to choose the model that best suits your specific use case, whether you're building a chatbot, a content creation tool, or any other AI-powered application. You can experiment with different models and find the one that delivers the best performance for your project.

How can I integrate Nanonets OCR into my project?

Composio.dev provides a seamless integration for Nanonets OCR, making it super easy to incorporate this powerful framework into your projects. You can leverage the Composio.dev API to call functions from Nanonets OCR, allowing you to tap into its capabilities with just a few lines of code. The SDK is available in Python, JavaScript, and TypeScript, so you can work with your preferred programming language and integrate Nanonets OCR into your projects seamlessly.

What is the pricing for Nanonets OCR?

Nanonets OCR is completely free to use, with a generous free tier that allows up to 1000 requests per month. This makes it accessible for developers and organizations of all sizes to explore and experiment with this powerful tool without any upfront costs. Whether you're a student working on a personal project or a startup building the next big thing, you can get started with Nanonets OCR without worrying about breaking the bank.

What kind of authentication is supported for Nanonets OCR?

Nanonets OCR supports OAuth2 authentication, ensuring secure and authorized access to its functionalities. You can leverage the Composio.dev API to handle authentication and call functions from Nanonets OCR seamlessly. The SDK is available in Python, JavaScript, and TypeScript for your convenience, making it easy to integrate authentication into your projects and keep your users' data safe and secure.

Can I add Nanonets OCR to my project?

Absolutely! You can easily incorporate Nanonets OCR into your project by utilizing the Composio.dev API. This API allows you to call functions from Nanonets OCR, enabling you to leverage its capabilities within your application. The SDK is available in Python, JavaScript, and TypeScript to facilitate integration, so you can work with the language you're most comfortable with and add Nanonets OCR to your project with ease.

What is the accuracy of Nanonets OCR?

Nanonets OCR is designed to provide highly accurate and reliable results, ensuring that your AI applications perform at their best. The integration with Composio.dev ensures precise function calls, enabling you to build robust and powerful AI applications with confidence. Nanonets OCR's comprehensive framework and the ability to leverage state-of-the-art models ensure reliable and accurate outcomes for your AI development needs, whether you're working on a chatbot, a content creation tool, or any other AI-powered project.

What are some common use cases for Nanonets OCR?

Nanonets OCR can be used for a wide range of AI applications, making it a versatile tool for developers and creators alike. Some common use cases include natural language processing, text generation, question answering, sentiment analysis, and more. It's particularly useful for building chatbots, virtual assistants, content creation tools, and other AI-powered applications that can help you automate tasks, engage with users, and create compelling content. Whether you're working on a personal project or building a product for your startup, Nanonets OCR can help you bring your ideas to life.

How does Nanonets OCR handle data privacy and security?

Data privacy and security are crucial considerations when working with AI systems, and Nanonets OCR takes these issues seriously. It follows industry best practices and adheres to strict data protection regulations, ensuring that your data is kept safe and secure. Nanonets OCR provides robust security measures, such as encryption and access controls, to ensure the confidentiality and integrity of your data. You can rest assured that your sensitive information is protected when using Nanonets OCR for your AI development needs.