TextKit consultants
We can help you automate your business with TextKit and hundreds of other systems to improve efficiency and productivity. Get in touch if you’d like to discuss implementing TextKit.
About TextKit
TextKit is a text processing and natural language toolkit designed for building applications that work with human language. It provides APIs and libraries for common text operations including sentiment analysis, keyword extraction, text classification, language detection, summarisation, and entity recognition. Rather than training custom NLP models from scratch, developers use TextKit to add text intelligence to their applications through ready-made endpoints.
Businesses dealing with high volumes of text data — customer feedback, support tickets, social media mentions, survey responses, emails — need ways to extract meaning at scale. Manual reading and categorisation does not work when you are processing thousands of messages per day. TextKit automates these text analysis tasks, turning unstructured text into structured data that can be routed, reported on, and acted upon. This fits directly into automated data processing workflows where text arrives as raw input and needs to be classified or summarised before downstream systems can use it.
TextKit’s capabilities are particularly useful for AI agent development projects where conversational systems need to understand user intent, extract key information from messages, or determine the sentiment of incoming communications. The toolkit handles the NLP heavy lifting so development teams can focus on business logic rather than model training and maintenance.
For Australian organisations building customer-facing applications or internal tools that process text, TextKit offers a practical path to adding language understanding without a dedicated machine learning team. When integrated into business automation pipelines, text analysis happens automatically — every incoming support ticket is categorised, every customer review is scored for sentiment, and every document is tagged with extracted entities.
TextKit FAQs
Frequently Asked Questions
Common questions about how TextKit consultants can help with integration and implementation
What text processing capabilities does TextKit offer?
Does TextKit require machine learning expertise?
Can TextKit analyse customer feedback at scale?
What languages does TextKit support?
How does TextKit’s sentiment analysis work?
Can TextKit be integrated into automation workflows?
How it works
We work hand-in-hand with you to implement TextKit
As TextKit consultants we work with you hand in hand build more efficient and effective operations. Here’s how we will work with you to automate your business and integrate TextKit with integrate and automate 800+ tools.
Step 1
Sign Up and Get API Credentials
Create a TextKit account and generate your API key. Review the available text processing endpoints to understand which capabilities match your use case — sentiment, classification, extraction, or summarisation.
Step 2
Choose Your Text Processing Features
Select the specific NLP capabilities you need. For customer feedback analysis, you might use sentiment analysis and keyword extraction. For document processing, entity recognition and summarisation might be more relevant.
Step 3
Send Test Requests
Use the API documentation or a tool like Postman to send sample text to the TextKit endpoints. Review the response format and verify that the analysis results are accurate and useful for your specific content type.
Step 4
Integrate into Your Application
Add TextKit API calls to your application code or automation workflow. For real-time processing, call the API as text arrives. For batch processing, queue text items and process them in bulk during off-peak hours.
Step 5
Map Results to Business Actions
Define what happens based on the analysis results. Negative sentiment might trigger an escalation to a senior support agent. Specific entity types might route documents to particular departments. Keyword matches might tag records for follow-up.
Step 6
Monitor Accuracy and Refine
Track how well TextKit’s analysis matches your expectations by reviewing a sample of results regularly. If certain text types are consistently misclassified, adjust your preprocessing or consider adding custom classification rules to supplement the API results.
Transform your business with TextKit
Unlock hidden efficiencies, reduce errors, and position your business for scalable growth. Contact us to arrange a no-obligation TextKit consultation.