Microsoft Manufacturing United States

Lexmark

Document Processing

School districts across the US struggle each day to communicate with students’ family members who speak a variety of languages. Translation services are slow, expensive, and prone to errors. The Lexmark Translation Assistant can translate scanned files from one language to or from more than 100 languages in minutes, producing printed copies that retain all design and formatting.

Reported impact

Business outcome

“Translation Assistant captures the essence of why we do what we do at Lexmark,” DeGraff says. “We innovate, we excel, and we support the communities where we live and work.”

  • Cost Reduction
  • Customer Experience
  • Productivity Improvement

Solution

School districts across the US struggle each day to communicate with students’ family members who speak a variety of languages. Translation services are slow, expensive, and prone to errors. The Lexmark Translation Assistant can translate scanned files from one language to or from more than 100 languages in minutes, producing printed copies that retain all design and formatting. Lexmark’s scanner, printer, and translator uses Azure AI Translator for the actual translation, ensuring highly accurate output while saving significant time and money. Lexmark set out to create a simple, easy-to-use system that would enable schools to communicate with families in the language they spoke at home. There were several factors to consider. “We needed a service that could ingest documents and provide high-quality output that met customer needs for language translation and speed. Plus, we needed the ability to maintain the original document’s format,” DeGraff says. Lexmark found everything it...

Solution architecture

1 components · 1 layer
  1. Compute
    • Azure AI Translator Translates scanned or uploaded documents while preserving the content needed for communication workflows.

Architecture clues

  • Lexmark set out to create a simple, easy-to-use system that would enable schools to communicate with families in the language they spoke at home. There were several factors to consider. “We needed a service that could ingest documents and provide high-quality output that met customer needs for language translation and speed. Plus, we needed the ability to maintain the original document’s format,” DeGraff says. Lexmark found everything it needed and more in Azure AI Translator.
  • Lexmark’s vision for Translation Assistant had two elements: hardware for scanning and printing, and a software-based translation component. A Lexmark MFP would satisfy the first part, but the company needed help with the translation piece. The company evaluated multiple solutions and ultimately selected Azure AI Translator to bridge the gaps between English and more than 100 languages.
  • School districts across the US struggle each day to communicate with students’ family members who speak a variety of languages. Translation services are slow, expensive, and prone to errors. The Lexmark Translation Assistant can translate scanned files from one language to or from more than 100 languages in minutes, producing printed copies that retain all design and formatting. Lexmark’s scanner, printer, and translator uses Azure AI Translator for the actual translation, ensuring highly accurate output while saving significant time and money.
  • “We had great support from the Microsoft team during our investigation and integration of Azure AI Translator,” DeGraff says, and using Microsoft APIs made language and feature adoption straightforward and simple. “Without the Microsoft APIs, some features of Lexmark Translation Assistant would have been difficult, costly, or time-intensive to implement.”

Evidence from the source

School districts across the US struggle each day to communicate with students’ family members who speak a variety of languages. Translation services are slow, expensive, and prone to errors. The Lexmark Translation Assistant can translate scanned files from one language to or from more than 100 languages in minutes, producing printed copies that retain all design and formatting. Lexmark’s scanner, printer, and translator uses Azure AI Translator for the actual translation, ensuring highly accurate output while saving significant time and money.
Transparency Evidence & methodology 56/100 reference value · 70% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value56/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth15/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity16/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact0/25
    0 metrics describe measurable impact.
  • Deployment scale5/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence70%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence5/20
    1 direct source quote retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity6/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Microsoft

    Lexmark customer story

    First-party
    https://www.microsoft.com/en/customers/story/1755056065057326115-lexmark-international-inc-azure-compute-other-en-united-states
    Source type
    Vendor-published customer story
    Published
    Apr 5, 2024
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

  • Published on source page Apr 5, 2024 · Microsoft · First-party
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.