{"id":59941,"date":"2026-03-30T16:40:14","date_gmt":"2026-03-30T16:40:14","guid":{"rendered":"https:\/\/dmi5324.dotlogicstest.com\/?post_type=case-study&#038;p=59941"},"modified":"2026-03-31T14:09:35","modified_gmt":"2026-03-31T14:09:35","slug":"multilingual-audio-transcription","status":"publish","type":"case-study","link":"https:\/\/dmi5324.dotlogicstest.com\/pl\/case-study\/multilingual-audio-transcription\/","title":{"rendered":"Transforming Real World Multilingual Audio into High Quality Training Data"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"59941\" class=\"elementor elementor-59941\" data-elementor-post-type=\"case-study\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6ecd8b2 e-flex e-con-boxed e-con e-parent\" data-id=\"6ecd8b2\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5df9ecf elementor-widget elementor-widget-text-editor\" data-id=\"5df9ecf\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2 aria-level=\"1\"><b><span data-contrast=\"auto\">The Client<\/span><\/b><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:400,&quot;335559739&quot;:120}\">\u00a0<\/span><\/h2><div class=\"OutlineElement Ltr SCXW182455160 BCX8\" style=\"-webkit-user-drag: none; -webkit-tap-highlight-color: transparent; margin: 0px; padding: 0px; user-select: text; clear: both; cursor: text; overflow: visible; position: relative; direction: ltr; color: #000000; font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif; font-size: 12px; letter-spacing: normal;\"><p><span data-contrast=\"none\">One of the world&#8217;s largest\u00a0AI-driven\u00a0technology platforms\u00a0needed\u00a0multilingual\u00a0audio transcription\u00a0at a scale. The brief was specific: tens of thousands of short audio snippets per month, across\u00a014 languages, transcribed and annotated to a standard that could feed directly into\u00a0ASR model training.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:180,&quot;335559740&quot;:300}\">\u00a0<\/span><\/p><p><span data-contrast=\"none\">The files\u00a0were real-world audio variable quality, multiple speakers, background noise, and the\u00a0annotations\u00a0had to reflect that accurately. Getting it wrong would corrupt the training data. The client needed a partner who could handle the volume without cutting corners on quality, and who had the infrastructure to scale when demand increased.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:180,&quot;335559740&quot;:300}\">\u00a0<\/span><\/p><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-081c2ca e-flex e-con-boxed e-con e-parent\" data-id=\"081c2ca\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-13456c1 elementor-widget elementor-widget-text-editor\" data-id=\"13456c1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2><b><span data-contrast=\"auto\">The Brief<\/span><\/b><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:400,&quot;335559739&quot;:120}\">\u00a0<\/span><\/h2><div style=\"-webkit-user-drag: none; -webkit-tap-highlight-color: transparent; margin: 0px; padding: 0px; user-select: text; clear: both; cursor: text; overflow: visible; position: relative; direction: ltr; color: #000000; font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif; font-size: 12px; letter-spacing: normal;\"><p><span data-contrast=\"none\">Each week, the client sent\u00a0batches of\u00a0MP3 files, typically\u00a010 to 30 seconds\u00a0each, covering 14 languages: German, English, Spanish, Italian, French, Portuguese, Vietnamese, Indonesian, Russian, Romanian, Mandarin, Dutch, Turkish, and Polish.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:180,&quot;335559740&quot;:300}\">\u00a0<\/span><\/p><p><span data-contrast=\"none\">Files fell into two categories.\u00a0Single-speaker\u00a0and multi-speaker\u00a0recordings. Some multi speaker files sometimes overlapped\u00a0and\u00a0often\u00a0had\u00a0variable acoustic conditions. Both types required transcription plus\u00a0<\/span><a href=\"https:\/\/dmi5324.dotlogicstest.com\/language-services\/linguistic-quality-assurance\/\"><span data-contrast=\"none\">annotation<\/span><\/a><span data-contrast=\"none\">, tagging events like laughter, coughing, and overlapping speech per the client&#8217;s\u00a0specific\u00a0guidelines.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:180,&quot;335559740&quot;:300}\">\u00a0<\/span><\/p><p><span data-contrast=\"none\">The project started with a few hundred files per week and has since\u00a0scaled\u00a0to\u00a0500 transcription hours per month.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:180,&quot;335559740&quot;:300}\">\u00a0<\/span><\/p><\/div><h2>Challenges<\/h2><ul><li aria-setsize=\"-1\" data-leveltext=\"\u25cf\" data-font=\"\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\u25cf&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"none\">Multi-speaker audio\u00a0was the hardest part technically. When two people talk at once, AI transcription breaks down\u00a0and\u00a0overlapping segments had to be handled by human annotators who could separate the voices and tag the overlap correctly.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:300}\">\u00a0<\/span><\/li><\/ul><ul><li aria-setsize=\"-1\" data-leveltext=\"\u25cf\" data-font=\"\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\u25cf&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"none\">Language labels came without dialect information, which created misassignment risk. A Spanish file could be Castilian or Mexican, and the wrong linguist\u00a0could\u00a0produce\u00a0errors.\u00a0DATAmundi\u00a0built a triage process to catch mismatches and began developing\u00a0dialect-detection\u00a0functionality within\u00a0our proprietary data management platform,\u00a0<\/span><a href=\"https:\/\/dmi5324.dotlogicstest.com\/ai-data-services\/aida-hub\/\"><span data-contrast=\"none\">AIDA<\/span><\/a><span data-contrast=\"auto\">\u00a0Hub<\/span><span data-contrast=\"none\">.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:300}\">\u00a0<\/span><\/li><\/ul><ul><li aria-setsize=\"-1\" data-leveltext=\"\u25cf\" data-font=\"\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\u25cf&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"none\">Volumes changed week to week.\u00a0The project started with five people on one language\u00a0then ramped to\u00a040\u201370 active linguists\u00a0across all 14. That kind of ramp requires a recruitment pipeline\u00a0and workflows\u00a0that move\u00a0fast without\u00a0compromising quality.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:300}\">\u00a0<\/span><\/li><\/ul><ul><li aria-setsize=\"-1\" data-leveltext=\"\u25cf\" data-font=\"\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\u25cf&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"none\">Keeping annotation consistent across a\u00a0globally\u00a0distributed team, spanning IST, PST, and EST time zones, required more than a style guide. The\u00a0<\/span><a href=\"https:\/\/dmi5324.dotlogicstest.com\/language-services\/linguistic-quality-assurance\/\"><span data-contrast=\"none\">annotation<\/span><\/a><span data-contrast=\"none\">\u00a0standard had to be enforced through structured\u00a0onboarding and ongoing calibration.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:300}\">\u00a0<\/span><\/li><\/ul><h2 aria-level=\"1\">\u00a0<\/h2><h2 aria-level=\"1\">DATAmundi Solution<\/h2><ul><li aria-setsize=\"-1\" data-leveltext=\"\u25cf\" data-font=\"\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\u25cf&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Proprietary AI transcription handled the first pass; human specialists recruited through DATAmundi\u2019s <\/span><a href=\"https:\/\/datatalent.ai\/\"><span data-contrast=\"none\">DATAtalent<\/span><\/a><span data-contrast=\"auto\">\u00a0network\u00a0handled the rest.\u00a0DATAmundi\u00a0ran incoming files through\u00a0<\/span><a href=\"https:\/\/dmi5324.dotlogicstest.com\/ai-data-services\/\"><span data-contrast=\"none\">AIDA platform<\/span><\/a><span data-contrast=\"auto\">, using\u00a0our\u00a0proprietary\u00a0Audio Transcription Tool (ATT)\u00a0to generate\u00a0draft transcriptions. Output was sent\u00a0to linguists for review and correction.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><ul><li aria-setsize=\"-1\" data-leveltext=\"\u25cf\" data-font=\"\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\u25cf&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Every batch went through a 30%\u00a0quality\u00a0spot check. Specialist linguists\u00a0handled\u00a0<\/span><a href=\"https:\/\/dmi5324.dotlogicstest.com\/language-services\/linguistic-quality-assurance\/\"><span data-contrast=\"none\">transcription and annotation<\/span><\/a><span data-contrast=\"auto\">, then\u00a0DATAmundi&#8217;s\u00a0internal\u00a0<\/span><a href=\"https:\/\/dmi5324.dotlogicstest.com\/ai-data-services\/data-evaluation\/\"><span data-contrast=\"none\">QC team<\/span><\/a><span data-contrast=\"auto\">\u00a0reviewed a random sample of each language batch\u00a0&#8211;\u00a024,000 files a week\u00a0-&gt;\u00a0a real\u00a0investment in\u00a0quality\u00a0and\u00a0the results reflected\u00a0this.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><ul><li aria-setsize=\"-1\" data-leveltext=\"\u25cf\" data-font=\"\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\u25cf&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">Linguists\u00a0and annotators\u00a0completed a 50-file pilot\u00a0before taking on full volume\u00a0to catch any potential\u00a0guideline misunderstandings early and kept the\u00a0<\/span><a href=\"https:\/\/dmi5324.dotlogicstest.com\/language-services\/linguistic-quality-assurance\/\"><span data-contrast=\"none\">annotation standard<\/span><\/a><span data-contrast=\"auto\">\u00a0consistent as the team scaled to\u00a0100\u2013120 files per linguist per day.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><ul><li aria-setsize=\"-1\" data-leveltext=\"\u25cf\" data-font=\"\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\u25cf&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"auto\">The post-processing pipeline was built from scratch: .ass\u00a0to JSON\u00a0conversion, timestamp validation, batch packaging. When requirements changed, the scripts were updated.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><ul><li aria-setsize=\"-1\" data-leveltext=\"\u25cf\" data-font=\"\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\u25cf&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"5\" data-aria-level=\"1\"><span data-contrast=\"auto\">QC ran across IST, PST, and EST, which meant the team could absorb volume spikes without pushing deadlines.\u00a0Weekly delivery targets\u00a0were held\u00a0consistently as the project tripled in scale.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5069f8c e-flex e-con-boxed e-con e-parent\" data-id=\"5069f8c\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ed5a589 elementor-widget elementor-widget-image\" data-id=\"ed5a589\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"800\" height=\"333\" src=\"https:\/\/dmi5324.dotlogicstest.com\/wp-content\/uploads\/2026\/03\/Case-study-tables-1200-x-500-px-1.avif\" class=\"attachment-large size-large wp-image-59949\" alt=\"\" srcset=\"https:\/\/dmi5324.dotlogicstest.com\/wp-content\/uploads\/2026\/03\/Case-study-tables-1200-x-500-px-1.avif 1200w, https:\/\/dmi5324.dotlogicstest.com\/wp-content\/uploads\/2026\/03\/Case-study-tables-1200-x-500-px-1-800x333.avif 800w, https:\/\/dmi5324.dotlogicstest.com\/wp-content\/uploads\/2026\/03\/Case-study-tables-1200-x-500-px-1-400x167.avif 400w, https:\/\/dmi5324.dotlogicstest.com\/wp-content\/uploads\/2026\/03\/Case-study-tables-1200-x-500-px-1-768x320.avif 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-981b468 elementor-widget elementor-widget-text-editor\" data-id=\"981b468\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2 aria-level=\"1\"><b><span data-contrast=\"auto\">The Results<\/span><\/b><\/h2><p><span data-contrast=\"none\">The project ran\u00a0weekly delivery cycles\u00a0with no deadlines missed.\u00a0DATAmundi\u00a0processes\u00a020,000\u201325,000 files per week\u00a0across\u00a014 languages.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:240,&quot;335559740&quot;:300}\">\u00a0<\/span><\/p><p><span data-contrast=\"none\">The client ran their own automated QA after each delivery: an LLM-based script that checked transcription accuracy against their internal benchmarks. The\u00a0pass rate stayed above 90%\u00a0throughout, with no outright failures recorded. The\u00a0Word Error Rate (WER)\u00a0held below 25%, the client&#8217;s defined pass threshold, across every batch.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:240,&quot;335559740&quot;:300}\">\u00a0<\/span><\/p><h2 aria-level=\"1\"><b><span data-contrast=\"auto\">The Business Impact<\/span><\/b><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:400,&quot;335559739&quot;:120}\">\u00a0<\/span><\/h2><p><strong>ASR Model Development<\/strong> depends on clean, well-annotated <a href=\"https:\/\/dmi5324.dotlogicstest.com\/ai-data-services\/data-collection-enhancement\/\">training data.<\/a>\u00a0A poor transcription does not just affect one file; it affects what the model learns. The client needed a partner who understood that, and who built their process around it rather than hitting volume targets at any cost.<\/p><p>DATAmundi delivered the volume and the quality. The client got a reliable weekly pipeline they could plan against, with enough flexibility to absorb demand changes without renegotiating scope every few weeks.\u00a0<\/p><p>Explore DATAmundi&#8217;s <a href=\"https:\/\/dmi5324.dotlogicstest.com\/datasets\/\">ready to use speech datasets<\/a> and <a href=\"https:\/\/dmi5324.dotlogicstest.com\/managed-services\/\">managed services for AI data workflows<\/a> to see how this model appliesto other projects.<\/p><div class=\"OutlineElement Ltr SCXW203826608 BCX8\" style=\"-webkit-user-drag: none; -webkit-tap-highlight-color: transparent; margin: 0px; padding: 0px; user-select: text; clear: both; cursor: text; overflow: visible; position: relative; direction: ltr; color: #000000; font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif; font-size: 12px; letter-spacing: normal;\">\u00a0<\/div><p><span class=\"TextRun SCXW228394257 BCX8\" lang=\"EN\" style=\"color: #8e16ff; font-family: Poppins, Helvetica, Arial, sans-serif; font-size: 24px; font-weight: bold; letter-spacing: 1px;\" xml:lang=\"EN\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW228394257 BCX8\">Running a multilingual AI data project? <\/span><\/span><span class=\"EOP SCXW228394257 BCX8\" style=\"color: #8e16ff; font-family: Poppins, Helvetica, Arial, sans-serif; font-size: 24px; font-weight: bold; letter-spacing: 1px;\" data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559738&quot;:200,&quot;335559739&quot;:100,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p><p><span class=\"TextRun SCXW138472042 BCX8\" lang=\"EN\" xml:lang=\"EN\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW138472042 BCX8\">Talk to us about what you need. Learn more about\u00a0<\/span><\/span><a class=\"Hyperlink SCXW138472042 BCX8\" href=\"https:\/\/dmi5324.dotlogicstest.com\/ai-data-services\/\" target=\"_blank\" rel=\"noreferrer noopener\"><span class=\"TextRun Underlined SCXW138472042 BCX8\" lang=\"EN\" xml:lang=\"EN\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW138472042 BCX8\">DATAmundi&#8217;s<\/span><span class=\"NormalTextRun SCXW138472042 BCX8\">\u00a0AI Data<\/span><span class=\"NormalTextRun SCXW138472042 BCX8\">\u00a0Solutions<\/span><\/span><\/a><span class=\"TextRun SCXW138472042 BCX8\" lang=\"EN\" xml:lang=\"EN\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW138472042 BCX8\">, or\u00a0<\/span><\/span><a class=\"Hyperlink SCXW138472042 BCX8\" href=\"https:\/\/dmi5324.dotlogicstest.com\/#contact\" target=\"_blank\" rel=\"noreferrer noopener\"><span class=\"TextRun Underlined SCXW138472042 BCX8\" lang=\"EN\" xml:lang=\"EN\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW138472042 BCX8\">get in touch<\/span><span class=\"NormalTextRun SCXW138472042 BCX8\">\u00a0with us<\/span><span class=\"NormalTextRun SCXW138472042 BCX8\">\u00a0directly<\/span><\/span><\/a><span class=\"TextRun SCXW138472042 BCX8\" lang=\"EN\" xml:lang=\"EN\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW138472042 BCX8\">.<\/span><\/span><span class=\"EOP SCXW138472042 BCX8\" data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:180,&quot;335559740&quot;:300}\">\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>How DATAmundi built a scalable multilingual transcription and annotation pipeline combining proprietary AI tooling with a global linguist network to deliver verified audio files per month across 14 languages <\/p>\n","protected":false},"featured_media":59960,"template":"","meta":{"_acf_changed":false,"content-type":""},"case-study":[],"class_list":["post-59941","case-study","type-case-study","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.3 (Yoast SEO v28.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>DATAmundi<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"\/\" \/>\n<meta property=\"og:locale\" content=\"pl_PL\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:site_name\" content=\"DATAmundi\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"CollectionPage\",\"@id\":null,\"url\":\"\",\"name\":\"\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/dmi5324.dotlogicstest.com\\\/pl\\\/#website\"},\"breadcrumb\":{\"@id\":\"#breadcrumb\"},\"inLanguage\":\"pl-PL\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"#breadcrumb\",\"itemListElement\":[]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/dmi5324.dotlogicstest.com\\\/pl\\\/#website\",\"url\":\"https:\\\/\\\/dmi5324.dotlogicstest.com\\\/pl\\\/\",\"name\":\"DATAmundi\",\"description\":\"Our Data. Your AI.\",\"publisher\":{\"@id\":\"https:\\\/\\\/dmi5324.dotlogicstest.com\\\/pl\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/dmi5324.dotlogicstest.com\\\/pl\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"pl-PL\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/dmi5324.dotlogicstest.com\\\/pl\\\/#organization\",\"name\":\"DATAMundi\",\"url\":\"https:\\\/\\\/dmi5324.dotlogicstest.com\\\/pl\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"pl-PL\",\"@id\":\"https:\\\/\\\/dmi5324.dotlogicstest.com\\\/pl\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/dmi5324.dotlogicstest.com\\\/wp-content\\\/uploads\\\/2025\\\/03\\\/dark_bg.svg\",\"contentUrl\":\"https:\\\/\\\/dmi5324.dotlogicstest.com\\\/wp-content\\\/uploads\\\/2025\\\/03\\\/dark_bg.svg\",\"width\":520,\"height\":55,\"caption\":\"DATAMundi\"},\"image\":{\"@id\":\"https:\\\/\\\/dmi5324.dotlogicstest.com\\\/pl\\\/#\\\/schema\\\/logo\\\/image\\\/\"}}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"DATAmundi","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"\/","og_locale":"pl_PL","og_type":"article","og_site_name":"DATAmundi","twitter_card":"summary_large_image","schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"CollectionPage","@id":null,"url":"","name":"","isPartOf":{"@id":"https:\/\/dmi5324.dotlogicstest.com\/pl\/#website"},"breadcrumb":{"@id":"#breadcrumb"},"inLanguage":"pl-PL"},{"@type":"BreadcrumbList","@id":"#breadcrumb","itemListElement":[]},{"@type":"WebSite","@id":"https:\/\/dmi5324.dotlogicstest.com\/pl\/#website","url":"https:\/\/dmi5324.dotlogicstest.com\/pl\/","name":"DATAmundi","description":"Our Data. Your AI.","publisher":{"@id":"https:\/\/dmi5324.dotlogicstest.com\/pl\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/dmi5324.dotlogicstest.com\/pl\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"pl-PL"},{"@type":"Organization","@id":"https:\/\/dmi5324.dotlogicstest.com\/pl\/#organization","name":"DATAMundi","url":"https:\/\/dmi5324.dotlogicstest.com\/pl\/","logo":{"@type":"ImageObject","inLanguage":"pl-PL","@id":"https:\/\/dmi5324.dotlogicstest.com\/pl\/#\/schema\/logo\/image\/","url":"https:\/\/dmi5324.dotlogicstest.com\/wp-content\/uploads\/2025\/03\/dark_bg.svg","contentUrl":"https:\/\/dmi5324.dotlogicstest.com\/wp-content\/uploads\/2025\/03\/dark_bg.svg","width":520,"height":55,"caption":"DATAMundi"},"image":{"@id":"https:\/\/dmi5324.dotlogicstest.com\/pl\/#\/schema\/logo\/image\/"}}]}},"_links":{"self":[{"href":"https:\/\/dmi5324.dotlogicstest.com\/pl\/wp-json\/wp\/v2\/case-study\/59941"}],"collection":[{"href":"https:\/\/dmi5324.dotlogicstest.com\/pl\/wp-json\/wp\/v2\/case-study"}],"about":[{"href":"https:\/\/dmi5324.dotlogicstest.com\/pl\/wp-json\/wp\/v2\/types\/case-study"}],"version-history":[{"count":0,"href":"https:\/\/dmi5324.dotlogicstest.com\/pl\/wp-json\/wp\/v2\/case-study\/59941\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dmi5324.dotlogicstest.com\/pl\/wp-json\/wp\/v2\/media\/59960"}],"wp:attachment":[{"href":"https:\/\/dmi5324.dotlogicstest.com\/pl\/wp-json\/wp\/v2\/media?parent=59941"}],"wp:term":[{"taxonomy":"case-study","embeddable":true,"href":"https:\/\/dmi5324.dotlogicstest.com\/pl\/wp-json\/wp\/v2\/case-study?post=59941"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}