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.
๐Ÿ”— Connect and Use Nanonets OCR
1. ๐Ÿ”‘ Connect your Nanonets OCR acc
2. โœ… Select an action
3. ๐Ÿš€ Go live with the agent
What do you want to do?

API actions for Nanonets OCR for AI assitants/agents

Language
JS
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 cutting-edge framework for building AI applications, designed to make the process of developing AI solutions super easy and fun! It's a collection of powerful tools and libraries that simplify the process of creating AI applications, 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, making it a breeze to leverage its capabilities within the Composio.dev platform. You can use Nanonets OCR to call functions on various platforms like Google, GitHub, and others, allowing you to incorporate different services into your AI applications with ease. It also supports user login via OAuth2 and can work with other popular frameworks such as LangChain and CrewAI, giving you the flexibility to build truly innovative AI solutions.

What models can I use with Nanonets OCR and langchain_python?

When using Nanonets OCR and langchain_python, 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 with langchain_python?

Integrating Nanonets OCR with langchain_python is super easy with Composio.dev! You can use the Composio.dev API to call functions from both Nanonets OCR and langchain_python, allowing you to tap into their capabilities with just a few lines of code. The SDK is available in Python, JavaScript, and TypeScript, so you can work with the language you're most comfortable with and integrate these powerful tools into your projects seamlessly.

What is the pricing for Nanonets OCR and langchain_python?

Both Nanonets OCR and langchain_python are completely free to use, with a generous free tier that allows up to 1000 requests per month. This makes them accessible for developers and organizations of all sizes, whether you're a student working on a personal project or a startup building the next big thing. You can get started with these powerful tools without worrying about breaking the bank.

What kind of authentication is supported for Nanonets OCR and langchain_python?

Nanonets OCR and langchain_python support OAuth2 authentication, ensuring secure and authorized access to their functionalities. You can use the Composio.dev API to handle authentication and call functions from both Nanonets OCR and langchain_python 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 both Nanonets OCR and langchain_python, enabling you to leverage their 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 these powerful tools to your project with ease.

What is the accuracy of Nanonets OCR and langchain_python?

Nanonets OCR and langchain_python are 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. The 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 and langchain_python?

Nanonets OCR and langchain_python can be used for a wide range of AI applications, making them versatile tools for developers and creators alike. Some common use cases include natural language processing, text generation, question answering, sentiment analysis, and more. They're 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, these tools 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.

Can I customize Nanonets OCR and langchain_python for my specific needs?

Absolutely! Nanonets OCR and langchain_python are highly customizable and extensible, allowing you to tailor their functionality, models, and configurations to meet your specific requirements. Whether you're building a chatbot, a content creation tool, or any other AI-powered application, you can customize these tools to fit your unique needs. Additionally, Composio.dev provides a flexible platform for integrating and orchestrating various AI tools and services, enabling you to create custom AI solutions that are tailored to your project.

What kind of support and documentation is available for Nanonets OCR and langchain_python?

Nanonets OCR and langchain_python have comprehensive documentation and a supportive community, making it easy for you to get started and find answers to your questions. Composio.dev also provides extensive resources, including tutorials, guides, and a dedicated support team to assist you throughout your AI development journey. Whether you're a beginner or an experienced developer, you'll have access to the resources you need to make the most of these powerful tools.
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