Case Studies

Annotation programs LabelFort has delivered for AI teams - published only when every figure is evidence-validated.

AI audiobook conversion case studyMedia & publishing

AI audiobook conversion

Reference pipeline design for converting ~200 books (100–300 pages each) into studio-grade audiobooks with English and Indian language support.

Evidence produced

Reference architecture · 200-book pilot scope · two-stage QA design

National news NER case studyMedia & publishing

National news NER

12,000 national news sentences labeled to a strict six-type schema, with checker validation on every entity.

Evidence produced

94% annotation accuracy · 72,000 entity labels · 9-day delivery

Language identification case studyMedia & publishing

Language identification

9,973 text reviews labeled with language identification and ISO code mapping across 13 supported languages.

Evidence produced

98% annotation accuracy · 19,946 labels · 2-day delivery

Patient metabolic health annotation case studyHealthcare

Patient metabolic health annotation

20,000 patient records annotated with seven structured metabolic health outputs per record, validated through maker-checker QA.

Evidence produced

96% annotation accuracy · 140,000 labeled fields · 8-day delivery

Invoice bounding box annotation (CDIP) case studyFinance & accounting

Invoice bounding box annotation (CDIP)

4,260 invoice images annotated with tight value-only bounding boxes across eight structured fields.

Evidence produced

4,260 images · 8 fields per image · 5-day delivery

Bilingual content moderation case studyTrust & safety

Bilingual content moderation

8,539 bilingual synthetic text items classified into five harmful-content categories with double-blind validation.

Evidence produced

92% annotation accuracy · 8,539 labels · 2-day delivery

Traffic light detection case studyAutonomous driving

Traffic light detection

4,564 traffic light images annotated with one tight bounding box per visible traffic light instance.

Evidence produced

14,272 bounding boxes · 4,564 images · 3-day delivery

AI invoice field QA annotation case studyFinance & accounting

AI invoice field QA annotation

4,175 invoice images QA-validated across eight structured fields using AI-first single-pass extraction.

Evidence produced

33,400 verified fields · 4,175 images · 3-day delivery

E-commerce product details extraction case studyE-commerce & consumer

E-commerce product details extraction

1,465 e-commerce product URLs annotated with eight structured fields per record, validated through maker-checker QA.

Evidence produced

11,720 validated fields · 1,465 URLs · 4-day delivery

Invoice bounding box annotation case studyFinance & accounting

Invoice bounding box annotation

1,489 invoice images annotated with tight value-only bounding boxes across nine structured fields.

Evidence produced

1,489 images · 9 fields per image · 1-day delivery

App review text annotation case studyE-commerce & consumer

App review text annotation

19,865 customer reviews annotated with Sentiment, Rating (1–5), and multi-label Topic Tagging under a fixed taxonomy.

Evidence produced

92% annotation accuracy · 59,595 structured labels · 3-day delivery

Genre & sub-genre classification case studyMedia & publishing

Genre & sub-genre classification

1,087 sentences labeled with Genre and Sub-Genre under a fixed taxonomy, with checker validation on every record.

Evidence produced

90% annotation accuracy · 2,061 validated labels · 2-day delivery

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