Tippiti.io's answer

The work that goes into a finished medical document begins after the raw transcript exists. Modern speech models already produce strong transcriptions - handling accents, specialist terminology, and fast turnaround - but the result still needs to be reshaped into a usable document. That is where most providers stop and where most users begin working manually.

Tippiti is built for that stage. Medico-legal report language has its own grammar - inversions, nested sentences, and formulaic phrasing - which off-the-shelf models tend to normalize into something subtly incorrect. Dictation commands need to be executed rather than left in the text as words. ICD codes, case references, place names, and medication names are often distorted by speech models in predictable ways and require targeted verification, not generic spellchecking. Formatting also varies between clients and must be applied consistently across every dictation.

Behind this lies a range of engineering decisions that determine whether the output is usable at all: audio handling and segmentation at meaningful pauses, context propagation across long texts, token and prompt management, orchestration of multiple models with clearly defined roles for correction and validation, active fact-checking of names, medications, and codes, robust handling of problematic passages, and model-specific quirks that must be accounted for individually. On top of this sits a rule layer written by practitioners, refined case by case using real production output. The product is the system built around the speech model - the model itself is just one interchangeable component within it.

Tippiti.io's answer

Most competitors focus on capabilities that no longer differentiate: accent recognition, specialist vocabulary, multilingual support, fast turnaround, encryption, and regulatory compliance. These are baseline features in modern speech systems - either built in by default or required by law. Listing them is reasonable, but they do not reduce the manual work that begins once the transcript is produced.

What actually changes the workload is everything between the raw transcript and the finished document. Tippiti executes dictation commands instead of leaving them as literal text. It preserves medico-legal report language rather than normalizing it into something generic. A second model, deliberately distinct from the one performing corrections, cross-checks the output against the original audio and defined rules, including active validation of names, medications, and codes. Per-client instruction sets allow a single system to generate different formatting outputs for different clients within a transcription workflow.

Underneath this is a layer of engineering decisions that directly affect usability: audio handling and segmentation at meaningful pauses, context propagation across long documents, token and prompt management, robust handling of problematic passages, and careful treatment of model-specific behavior. These are the factors that determine whether the output can be used as-is or requires further manual revision.

The pricing reflects this approach. €0.50 per 1,000 finished characters, with no base fee, no minimum term, and no feature tiers. Every account includes the full functionality. Medico-legal experts and transcription services operate on the same platform and engine, with sub-accounts and link sharing connecting both sides.