Hassan Revel.

Service · Hassan Revel

Voice & multimodal AI.

Hassan connects speech, images and text to practical application workflows. The work includes voice interfaces, transcription, document understanding and audio-based reporting tools.

Speech-to-textVoice agentsOCR
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Illustration of voice input and a structured document connected by an audio waveform
Concept illustration · Voice & multimodal AI

01 · The work

Work with the input people actually provide

Recorded speech, live audio, images and typed messages each need different handling. The pipeline accounts for how the input is captured, how it reaches the backend and how the user sees progress or corrects an error.

02 · The work

Turn recognition into structured work

A transcript or extracted field is an intermediate result. Hassan connects recognition to the next step: a report, a searchable record, a tool call or a conversation. The original input can remain available for review where the workflow calls for it.

03 · The work

Design for review and recovery

Audio and image interpretation can be incomplete. The interface needs an understandable correction path, especially for specialist terminology and structured documents. The delivery scope can include review screens, job states and clear error responses.

A practical starting point

Send the current workflow, available data and intended outcome. Hassan can use that context to define the scope, integrations and delivery steps.

Discuss the scope

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The service, in practice.

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