Testing Every Language Skill at Once, and Grading All of Them Instantly
Comprehensive language assessment across reading, writing, speaking, and listening is expensive and slow to run manually, and the speaking component in particular has traditionally required a human evaluator per candidate, which limits how often an institution can realistically test.

Why this keeps costing you
That evaluator bottleneck caps testing volume and slows down how quickly candidates get results, sometimes by days or weeks. For institutions running certification or placement testing at scale, that delay directly limits growth.
How we build it
The speaking module streams candidate audio through a speech to text pipeline in real time and scores pronunciation, fluency, and coherence against a rubric tuned specifically for spoken assessment rather than reusing the written scoring model. The listening module uses text to speech to generate consistent audio prompts at scale, removing variability between test administrations. All four modules write to the same underlying scoring engine, so a candidate's complete proficiency report — reading, writing, speaking, and listening — compiles automatically the moment the last module finishes, rather than waiting on separate manual scoring pipelines to converge.
What this looks like once it is running
- 1Speech to text speaking assessment with automated, consistent scoring
- 2Text to speech listening comprehension modules built into the same test
- 3Automated essay scoring for the writing component
- 4A unified proficiency report generated in minutes, not days
- 5Role based dual portal access for administrators and test takers
Zaltech's platform holds 98 percent assessment accuracy against expert grading benchmarks, with full reports delivered in under two minutes, letting institutions test far more candidates without adding evaluator headcount.
For more details, click the relevant case study link below.
View AI Assessment Platform case studyAI Assessment Platform
This is the same AI Assessment Platform referenced elsewhere in this portfolio, covering all four language skills from a single test session. It runs on WebSockets for real time audio streaming, dedicated speech to text and text to speech pipelines, and AI proctoring for exam integrity, with third party LMS integrations for scalable, data driven evaluation — live in production for language testing providers today.
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Want this one built for your business?
We will walk you through the architecture, what it takes to integrate with your systems, and a realistic timeline — before anyone signs anything.
