AI to
text
AI makes it possible to process and understand large volumes of text and documents – quickly, systematically, and with high precision. Instead of reading, writing, copying, or sorting manually, you can use AI to analyze, generate, categorize, and summarize content – directly within your existing workflows.









- Examples of Solutions
From Questions to Action – Automatically and Intelligently
Document Analysis and Data Extraction
This AI solution identifies and extracts key information from documents – such as contracts, forms, reports, or templates. It can locate names, dates, amounts, addresses, and other relevant fields and structure them for further use. This enables the automation of registration, validation, and overview, ensuring consistency and high data quality across the entire organization.
AI-Generated Documents and Emails
With this solution, AI can draft documents, emails, and notes based on input, templates, or previous materials. It can be used for everything from responding to inquiries to generating proposals, summaries, or internal documents. The content is tailored to your tone and context and can be delivered as a draft, automatically approved – or published directly, if desired.
Transcription and Meeting Notes
This solution converts audio recordings from meetings, interviews, or conversations into text – quickly and accurately. The AI can also summarize the content into decisions, action items, and key points, making the documentation both clear and practical. It frees up time, ensures consistent note-taking, and makes it easy to share important conclusions across the organization.
OCR and Text Recognition
With OCR (Optical Character Recognition) and AI, you can digitize content from scanned documents, images, or PDFs and make it searchable and structured. The system recognizes text, tables, and fields – and when combined with AI, it can also understand context and add metadata. This makes it ideal for archiving, data migration, and automated document handling across systems and formats.
Text Understanding and Tone Adaptation
AI can analyze content and assess meaning, tone, and intent – then rewrite or adjust the text to suit the recipient and context. This could apply to emails, reports, posts, or guides that need to be made clearer, friendlier, or more formal. The solution ensures your communication is consistent, professional, and tailored to the audience – every time.
Automatic Archiving and Categorization
This solution uses AI to analyze documents and automatically place them in the correct folders, systems, or categories. It assigns topics, metadata, and access levels based on the content – without manual sorting. This makes it easier to find and reuse documents, reduces archiving errors, and ensures better compliance with internal guidelines and legal requirements.
Document Validation and Compliance Check
AI can review documents for missing fields, formatting errors, or deviations from standards – and flag where something needs to be filled in, approved, or changed. It can also check compliance with internal policies or external requirements, such as in contracts or reports. This gives you added assurance that documents are accurate, complete, and ready for use – before being passed on.
Summaries and Key Points from Long Texts
This solution condenses long documents, articles, or emails into brief summaries and overviews. The AI highlights decisions, tasks, and key points – making it easy to skim the content and act quickly. It’s ideal for managers, caseworkers, and employees who deal with large amounts of text and need quick insights without reading everything.
- Benefits of AI
Benefits of AI for Document Automation
AI can eliminate manual work in document and text processing – while also improving quality, increasing clarity, and freeing up time across the organization. When used correctly, AI becomes a driving force for both efficiency and knowledge sharing.
At AIgentur, we help businesses automate and structure document management and text processing. Here are five key benefits our clients typically experience:
Time Savings
AI takes over routine tasks such as data entry, summarization, and archiving – freeing up time for what truly creates value.
Quality
Texts and documents are produced and processed the same way – every time – without human errors.
Better overview
AI makes unstructured text searchable and usable – giving you access to knowledge you wouldn't otherwise discover.
Faster processes
When documents are automatically analyzed, categorized, and summarized, it becomes easier to make quick and well-informed decisions.
Stronger compliance
AI can ensure that key fields are completed, formats are followed, and rules are complied with—even in large and complex datasets
- Our process
How we create AI solutions that work in practice
At AIgentur, we follow a structured and transparent process that ensures the solution fits your needs – and delivers value from day one. We believe in close dialogue, clear agreements, and continuous quality assurance.
The process is carried out in six phases and can be adapted to both small and large projects.
1. Scoping
2. Approval
3. Development
4. Test
5. Feedback
6. Implementation and onboarding
- Contact us
Ready to get started?
Let's take the first step together
At AIgentur, we meet you where you are and help you turn your goals and challenges into concrete solutions.
Maybe you already have an idea or a specific need. Or maybe you’re simply curious about how AI can be used in your business.
Either way, we’re happy to have an informal conversation – and show you how a structured and flexible approach can deliver real results.
Book a meeting
- Frequently asked questions
From curiosity to clarity in seconds.
What can AI be used for in document management?
AI can automatically analyze, structure, categorize, and generate documents. It is used for tasks such as data extraction, transcription, document generation, email responses, archiving, and compliance checks. The goal is to reduce manual work and improve quality.
Can AI read and understand complex documents?
Yes. AI models can be trained to understand both structured and unstructured documents – such as contracts, reports, or manuals. They can locate specific information, assess context, and suggest actions based on the meaning of the content.
What is the difference between OCR and AI?
OCR (Optical Character Recognition) recognizes text in images and scanned documents. AI builds on OCR by understanding and analyzing the content – for example, extracting fields, assessing tone, classifying, or suggesting next steps. OCR makes text visible – AI makes it useful.
What does it take to automate text work with AI?
It requires access to relevant documents, an understanding of your workflows, and a brief clarification process. We help you assess the data foundation and tailor the solution to your needs. You don’t need to have everything ready – we’ll guide you through the process step by step.
Can we control what the AI is allowed to generate or modify?
Yes. We define clear boundaries for what the AI is allowed to do – for example, limiting which fields it can modify, which document types it can handle, and how the content should be phrased. This gives you full control and ensures safe usage.
Are our data and documents safe with AI?
Yes. We work with secure models, controlled data processing, and solutions that can be hosted on-premise or in your own cloud environment. All access to and processing of data is carried out in compliance with GDPR and your internal security policies.