What problem does Tippiti solve?

Modern speech models transcribe medical dictations at high quality – even with regional accents, even with specialist terminology. That is state of the art.

The real problem starts afterwards: between a raw transcription and a finished, correct text lie specialist language, individual rules and many technical decisions. That is exactly where Tippiti comes in. You receive the finished text as a Word document, in the integrated editor or via the API.

Try Tippiti yourself

No sign-up

Upload test dictation

Upload your own dictation and see the result within minutes – no registration required.

Upload test dictation now 20,000 characters free

Create free account

20,000 characters free – no payment details. Cancel anytime, no subscription.

Create free account
Questions? Get in touch
The market

What is often sold as innovation – and what is simply standard today

Anyone who looks at providers of medical transcription keeps running into the same buzzwords: GDPR, accent recognition, specialist vocabulary, multilingualism, fast processing.

Modern speech models handle regional variants and specialist medical terminology and deliver raw text quickly. That is not a special achievement of any one provider – it is state of the art. GDPR compliance and encryption are legal obligations, not features.

Many providers still highlight these points. That is not dishonest – but the actual difference between products lies elsewhere: not in the speech recognition, but in what happens to the raw text afterwards.

What is industry standard and what is a legal obligation

Accents, dialects, specialist terms
Modern speech models handle regional variants and complex medical terminology without special training. State of the art.

Speed and multilingualism
A property of modern models and hardware – not the achievement of any particular provider.

GDPR and encryption
Legally mandatory in the EU – not a product feature.

The challenge

Where transcriptions really fall down in day-to-day use

The technology is there. What matters is whether it is applied correctly – both in terms of domain knowledge and implementation.

Raw text, not finished text

A transcription delivers words – but not a finished text. Structure is missing, paragraphs are missing, dictation commands sit in the text as words. Some tools solve parts of this. But between a tidied-up raw text and a text that actually saves time for medico-legal experts and transcription services lie many steps.

Medico-legal report language

Medico-legal experts dictate in a language of their own: inversions, nested sentences, domain-specific phrasing. What an AI without domain context flags as in need of correction is often perfectly correct in context. Anyone who fails to recognise this produces seemingly smooth text – and distorts the content in the process.

Individual requirements

Abbreviations, date formats, ICD codes, formatting conventions – a lot of this differs from expert to expert, from transcription service to transcription service. Generic tools do not know these differences and deliver a one-size-fits-all output that often does not fit in practice.

Live dictation vs. context

Many products rely on real-time transcription: word by word, as you speak. That sounds convenient – but it also means the software never sees the text as a whole. Without the full context, it cannot check internal relationships, cannot pick up cross-references and can only work on the text to a limited extent.

How Tippiti solves it

Not through better AI.
Through a better application.

The difference comes from the application – from the workflow, the domain knowledge and the technical details in between.

Domain context

Domain knowledge instead of standard logic

The quality of a result depends on how well the AI understands the domain context: which phrasings are correct, which errors in the dictation must be fixed, how dictation commands are carried out, what belongs in the finished text and what does not.

Tippiti works with rules developed jointly with medico-legal experts and transcription services and continuously improved. This means the output already fits most use cases without further configuration. Anyone who has specific requirements on top of that can add their own rules.

  • Built with and for transcription services and medico-legal experts
  • Medico-legal report language is deliberately preserved
  • Dictation commands are recognised and carried out
  • Individual rules and text replacements supported
Agentic workflow

Built-in quality control

Tippiti does not work with a single AI pass. After correction, an automated verification process kicks in – an agentic workflow: an independent model – deliberately different from the correcting one – checks the result against the original transcription and the applicable rules. It verifies that rules were followed, content was carried over correctly and nothing was distorted.

Part of this workflow is an active fact-check and plausibility-check of medication names, active ingredients, dosages, ICD codes, case numbers, proper names, place names, etc. Are spellings correct, are codes valid, do postcode and place name match, are dosages within a realistic range? If in doubt, a web search complements the check. Logical contradictions in the text are also detected. That goes beyond plain text correction.

If discrepancies are found, a targeted re-correction and re-check is run. This cycle of correction, validation and re-correction continues until the result meets the requirements – several AI models working together, checking one another and improving the result step by step.

Unlike generative AI tools that author content of their own, Tippiti does not produce new medical findings, diagnoses or assessments from its own assumptions. Tippiti corrects, structures and validates what was dictated, and checks facts – the clinical statements come from you. This keeps the hallucination risk low. The finished result is available as a Word document, in the integrated editor or via the API. How this is covered legally – DPA, German § 203 StGB, no training with your data – is described on the Privacy page.

  • Correction and validation by different models
  • Check for rule compliance and factual accuracy
  • Active fact-check: numbers, medications, ICD codes, proper names, etc.
  • Automatic feedback loop until release
Customisation

Adaptable where it needs to be

The base rules cover most requirements. But medico-legal experts and transcription services often have specific conventions: particular abbreviations, date formats, ICD code notations or formatting rules.

To cover every use case, Tippiti supports instruction sets and text replacements. The instruction set can be set individually for each dictation at upload time.

  • Individual instruction sets per case or client
  • Text replacements and formatting rules take effect immediately
  • Tippiti Chat in the editor for manual follow-up
Engineering

Quality comes from the details

Send an audio file to a model, and you get text. For a usable result, that is often not enough. To deliver a high-quality output automatically, many technical decisions are needed: audio optimisation, sensible segmentation at pauses, context control between sections, handling of long texts, error handling for problematic passages.

On top of that come the edge cases and the quirks of each AI model, which have to be handled accordingly. All of these details determine whether you end up with just a result, or with a result you can actually work with.

  • Audio optimisation and intelligent segmentation
  • Robust processing even with difficult audio quality
  • Context control even for long texts
  • Iterative quality checks across multiple passes
  • Automatic web search for fact validation

What Tippiti delivers

Tippiti is specialised for texts produced by medico-legal experts and transcription services. No live dictation, no clinical practice documentation, no generic transcription – but a process tailored to these requirements.

The combination of domain knowledge, a multi-stage verification process and the ability to store your own rules ensures that the result is considerably closer to a finished text than a plain transcription.

Manual follow-up does not disappear completely – with today's state of the art, that cannot be promised seriously. But the work changes fundamentally: away from manual typing or word-by-word review of a raw transcription, towards targeted checks and spot edits.

What you actually get
  • A finished, corrected text – not raw text to be reworked
  • Checked against your rules – not just against a generic standard
  • Multi-stage validation – with feedback loop instead of a single pass
  • Refinable via Tippiti Chat – right in the editor
  • Complete version history – every change is traceable

See for yourself.

Upload a test dictation and see what Tippiti makes of your recording – free of charge, no registration required, no strings attached.

Create account
Questions? Get in touch