# MTPE for SaaS and Software Companies > Human-led MTPE for SaaS product UI, help centres, release notes and technical documentation, with terminology control and linguistic QA. Source: https://www.globaltranslations.org/industries/saas-software MTPE for technology companies ## Ship software globally. Keep the human judgement. Machine translation post-editing (MTPE) for SaaS platforms, product teams and fast-moving software businesses. Move multilingual UI, release notes and product documentation through a controlled, human-led workflow. We correct machine-generated content for meaning, product terminology and user context — without treating raw MT as release-ready copy. For product localisation teams · SaaS vendors · Engineering and documentation leads Content verification Illustrative workflow — not a live customer project The product localisation challenge / 01 ### Your product updates weekly. Your languages still need to make sense. Fast release cycles create a predictable problem: interface strings, feature announcements and help content change faster than traditional translation schedules can comfortably accommodate. Raw machine translation can accelerate the first draft, but it may misread short strings, mistranslate product concepts or break the user experience. The right question is not simply whether to use AI. It is **which content is suitable for MTPE, what people must check, and what happens before release.** Content we handle / 02 ### One product language. Across every product touchpoint. Apply human-led post-editing to suitable recurring content while keeping context-sensitive and higher-risk text on the right review path. #### Product UI & strings Menus, settings, notifications, tooltips, onboarding screens and microcopy, with context and technical constraints. #### Help centres & knowledge bases Support articles, troubleshooting flows, FAQs and self-service guidance that evolve with the product. #### Release notes & updates Changelogs, new-feature descriptions, product notices and customer communications tied to release cycles. #### Developer documentation API guidance, implementation instructions, reference explanations and SDK documentation, with code and identifiers protected. #### In-app and lifecycle messaging Transactional emails, product journeys, service notices and feature adoption content requiring consistent terminology. #### Technical and operational content Administrator guides, training resources and internal product documentation with defined audiences and review criteria. Choose the right workflow / 03 ### Not every string should follow the same translation path. A well-designed localisation programme routes content according to quality expectations, MT suitability and potential user impact. #### Human post-editing of MT output Suitable recurring technical or product content where a trial confirms acceptable machine output and human revision can meet the agreed quality specification. #### Human translation or specialist review Consider for ambiguous UX copy, positioning, sensitive instructions, legal commitments and other material where a fresh translation or deeper review is more appropriate. #### UI linguistic verification Where application access or screenshots are available, review clipped labels, layout, meaning in context, variables and language-specific presentation. Quality engineered into delivery / 04 ### Machine speed is useful. Human decisions are essential. We specify the editing level and acceptance criteria with your team, then build the linguistic and technical checks into the workflow. #### Accuracy in context Resolve omissions, additions, ambiguity and mistranslated product concepts against the source and available screenshots. #### Product terminology Follow approved glossaries, feature names, UI patterns, style guides and language variants. #### Technical safeguards Check placeholders, variables, markup, code tokens, shortcuts, numbers and other non-translatable elements. #### Review and escalation Flag source defects and unresolved decisions; add independent linguistic or in-context QA when scoped. Release-friendly process / 05 ### Designed to fit a software delivery rhythm. Start with a small, representative batch, agree the rules, and reuse approved language assets across future updates. 1. 01Sample & assessReview source content, language pairs, current MT quality, formats and expected review effort. 2. 02Set the guardrailsAgree terminology, style, content exclusions, data handling, QA criteria and acceptance roles. 3. 03Post-editSpecialist linguists correct output to the agreed standard, preserving variables and technical structure. 4. 04Verify & returnRun configured linguistic and technical checks, resolve queries and return agreed files and findings. Already using a TMS, CAT tool or in-house MT engine? We can assess how to work with exported files and existing terminology. Any integration, continuous delivery arrangement or automation is defined and quoted separately. Selected multilingual project / 06 Video transcription · Multilingual delivery ### Video transcription across 38 languages. PangeaVox completed a video transcription project covering 38 languages, demonstrating the breadth of language coordination available for complex multilingual content. The assignment involved transcription of video content rather than machine translation post-editing. For technology companies working with international product and media content, multilingual transcription can be a complementary service alongside software localisation. PROJECT SCOPE Commercial clarity / 07 ### A pilot first. Pricing based on real editing effort. MTPE makes commercial sense when the source, machine output and target quality are a good fit. We recommend evaluating a representative sample before treating an entire content stream as an MTPE job. Quotes consider source word count, language pair, MT quality, terminology, technical file preparation, quality requirements and deadlines. Repetition handling and any urgency premium are specified in the quotation rather than assumed. FOR AN ACCURATE MTPE QUOTE #### Send us a representative batch. - Source files or a safely shareable sample - Target languages and regional variants - Available MT output or engine preferences - Glossary, style guide and product screenshots - File format, variables and localisation constraints - Expected cadence, deadline and QA requirements Confidential product content? Contact us to agree an appropriate transfer route before sharing files. Product and data control / 08 ### Keep control of what goes into the translation workflow. Before work begins, agree which source files may be processed with MT, which engine or environment is authorised, what content must be excluded, and what confidentiality arrangements apply. We do not assume that sensitive source code, credentials, personal data or unreleased product information should be submitted to a public translation service. For more demanding environments, discuss a client-approved or isolated processing approach as part of the project brief. Technical integration and data-security measures are confirmed for each engagement; they are not implied by a generic MTPE package. Frequently asked / 09 ### Questions from SaaS localisation teams. Our recommendations depend on content risk, language pairs, available context and the quality of the machine-translated draft. Machine translation post-editing is human correction of machine-generated translations. For software, editors also need product context, approved terminology and care with variables, placeholders and UI constraints. No. Short or ambiguous strings, high-impact instructions and brand-sensitive UX copy may call for human translation, independent review or additional in-context checks. We recommend evaluating representative content first. We can assess common structured localisation formats and their non-translatable elements. Supported handling depends on file structure, tooling and the agreed preparation and QA scope. We check sample files before confirming delivery specifications. Yes, subject to file compatibility and the assets you provide. We can assess glossaries, translation memories, style guides and approved product naming to preserve consistency across updates. No. Human post-editing and the agreed checks are core parts of MTPE. Independent review and in-product verification can be added where the risk or acceptance requirements justify them. Pricing depends on languages, volume, content type, machine-output quality, technical preparation and required checks. We can assess a pilot batch and propose a recurring arrangement; no fixed savings or turnaround are assumed. Make the next release multilingual / 10 ### Ready to test MTPE on your SaaS content? Share a sample of your product strings, documentation or support material. We will discuss suitability, language coverage and a quality-controlled workflow.