{
  "slug": "marker",
  "name": "Marker",
  "company": "Datalab",
  "website": "https://www.datalab.to/",
  "category": "platforms",
  "business_model": "open",
  "availability": "unknown",
  "launched": null,
  "tags": [
    "parse",
    "developer-tools"
  ],
  "updated": "2026-11-03",
  "sources": [
    {
      "title": "Marker — official product",
      "url": "https://www.datalab.to/"
    },
    {
      "title": "Marker — official documentation and terms",
      "url": "https://github.com/datalab-to/marker"
    },
    {
      "title": "Marker — official documentation and terms",
      "url": "https://www.datalab.to/pricing"
    }
  ],
  "selection": {
    "tasks": [
      "document-qa"
    ],
    "form_factor": "library",
    "platforms": [
      "unknown"
    ],
    "deployment": [
      "local",
      "self-hosted"
    ],
    "offline": "unknown",
    "regions": [
      "unknown"
    ],
    "api": "unknown",
    "license": "unknown",
    "commercial_use": "unknown",
    "languages": [
      "unknown"
    ],
    "billing": {
      "models": [
        "open-source",
        "usage",
        "enterprise-quote"
      ],
      "free_allowance": "limited",
      "requires_subscription": "unknown"
    }
  },
  "selection_evidence": {
    "tasks": {
      "status": "editorial_inference",
      "note": "Editorial classification of the documented features; not a product-performance test."
    },
    "form_factor": {
      "status": "editorial_inference",
      "note": "Editorial classification of the documented features; not a product-performance test."
    },
    "platforms": {
      "status": "unknown",
      "note": "This product-specific field was not established in this entry’s source review."
    },
    "deployment": {
      "status": "editorial_inference",
      "note": "Editorial classification of the documented features; not a product-performance test."
    },
    "offline": {
      "status": "unknown",
      "note": "This product-specific field was not established in this entry’s source review."
    },
    "regions": {
      "status": "unknown",
      "note": "This product-specific field was not established in this entry’s source review."
    },
    "api": {
      "status": "unknown",
      "note": "This product-specific field was not established in this entry’s source review."
    },
    "license": {
      "status": "unknown",
      "note": "This product-specific field was not established in this entry’s source review."
    },
    "commercial_use": {
      "status": "unknown",
      "note": "This product-specific field was not established in this entry’s source review."
    },
    "languages": {
      "status": "unknown",
      "note": "This product-specific field was not established in this entry’s source review."
    },
    "billing": {
      "status": "editorial_inference",
      "note": "Editorial classification of the documented features; not a product-performance test."
    }
  },
  "facts": [
    {
      "id": "marker.capability.primary",
      "field": "capability",
      "value": "Convert PDF documents to Markdown and JSON",
      "status": "verified",
      "evidence_type": "official_page",
      "checked": "2026-11-03",
      "sources": [
        "https://github.com/datalab-to/marker"
      ]
    }
  ],
  "docs_url": "https://github.com/datalab-to/marker",
  "pricing_url": "https://www.datalab.to/pricing",
  "description": "Document conversion project from Datalab for extracting Markdown and structured JSON from PDFs.",
  "overview": "Typical uses include Document ingestion for RAG; Extraction of structured document content. Documented capabilities: Convert PDF documents to Markdown and JSON; Preserve tables, images and document layout; Optional LLM-assisted correction during conversion.",
  "features": [
    "Convert PDF documents to Markdown and JSON",
    "Preserve tables, images and document layout",
    "Optional LLM-assisted correction during conversion"
  ],
  "use_cases": [
    "Document ingestion for RAG",
    "Extraction of structured document content"
  ],
  "pricing_notes": "Marker code is Apache-2.0, but its model weights use modified AI Pubs Open Rail-M terms: research, personal use and businesses below USD 5 million funding/revenue qualify for free use; larger commercial use needs a license. Datalab’s hosted API is a separate metered service.",
  "faq": [
    {
      "q": "Where does Marker fit in a workflow?",
      "a": "Document conversion project from Datalab for extracting Markdown and structured JSON from PDFs. Convert PDF documents to Markdown and JSON."
    },
    {
      "q": "What costs and limits should I compare before choosing Marker?",
      "a": "Marker code is Apache-2.0, but its model weights use modified AI Pubs Open Rail-M terms: research, personal use and businesses below USD 5 million funding/revenue qualify for free use; larger commercial use needs a license. Datalab’s hosted API is a separate metered service."
    }
  ],
  "i18n": {
    "zh": {
      "description": "Datalab提供的PDF转Markdown及结构化JSON文档转换项目。",
      "overview": "典型用途包括RAG文档导入、文档内容结构化提取。文档列明的能力包括：将PDF文档转换为Markdown和JSON；保留表格、图像和文档版式；转换时可选LLM辅助修正。",
      "features": [
        "将PDF文档转换为Markdown和JSON",
        "保留表格、图像和文档版式",
        "转换时可选LLM辅助修正"
      ],
      "use_cases": [
        "RAG文档导入",
        "文档内容结构化提取"
      ],
      "pricing_notes": "Marker代码采用Apache-2.0，但模型权重采用修改版AI Pubs Open Rail-M条款：研究、个人及融资/收入低于500万美元的企业可免费使用，更大规模商用需许可。Datalab托管API另按量收费。",
      "faq": [
        {
          "q": "Marker适合工作流中的哪个环节？",
          "a": "Datalab提供的PDF转Markdown及结构化JSON文档转换项目。 将PDF文档转换为Markdown和JSON."
        },
        {
          "q": "选择Marker前应比较哪些费用和限制？",
          "a": "Marker代码采用Apache-2.0，但模型权重采用修改版AI Pubs Open Rail-M条款：研究、个人及融资/收入低于500万美元的企业可免费使用，更大规模商用需许可。Datalab托管API另按量收费。"
        }
      ],
      "selection_evidence": {
        "tasks": {
          "note": "依据所记录功能作出的编辑归类，非产品性能实测。"
        },
        "form_factor": {
          "note": "依据所记录功能作出的编辑归类，非产品性能实测。"
        },
        "platforms": {
          "note": "本条目的来源核查尚未确认这一产品字段。"
        },
        "deployment": {
          "note": "依据所记录功能作出的编辑归类，非产品性能实测。"
        },
        "offline": {
          "note": "本条目的来源核查尚未确认这一产品字段。"
        },
        "regions": {
          "note": "本条目的来源核查尚未确认这一产品字段。"
        },
        "api": {
          "note": "本条目的来源核查尚未确认这一产品字段。"
        },
        "license": {
          "note": "本条目的来源核查尚未确认这一产品字段。"
        },
        "commercial_use": {
          "note": "本条目的来源核查尚未确认这一产品字段。"
        },
        "languages": {
          "note": "本条目的来源核查尚未确认这一产品字段。"
        },
        "billing": {
          "note": "依据所记录功能作出的编辑归类，非产品性能实测。"
        }
      },
      "facts": {
        "marker.capability.primary": {
          "value": "将PDF文档转换为Markdown和JSON"
        }
      }
    },
    "es": {
      "description": "Proyecto de Datalab para convertir PDF a Markdown y JSON estructurado.",
      "overview": "Usos habituales: Ingesta documental para RAG; Extracción de contenido estructurado. Funciones documentadas: Conversión de PDF a Markdown y JSON; Conservación de tablas, imágenes y diseño; Corrección opcional con LLM durante la conversión.",
      "features": [
        "Conversión de PDF a Markdown y JSON",
        "Conservación de tablas, imágenes y diseño",
        "Corrección opcional con LLM durante la conversión"
      ],
      "use_cases": [
        "Ingesta documental para RAG",
        "Extracción de contenido estructurado"
      ],
      "pricing_notes": "El código Marker es Apache-2.0, pero los pesos usan AI Pubs Open Rail-M modificada: investigación, uso personal y empresas por debajo de USD 5 millones de financiación/ingresos pueden usarlos gratis; otros usos comerciales requieren licencia. La API alojada se cobra aparte.",
      "faq": [
        {
          "q": "¿En qué parte del flujo encaja Marker?",
          "a": "Proyecto de Datalab para convertir PDF a Markdown y JSON estructurado. Conversión de PDF a Markdown y JSON."
        },
        {
          "q": "¿Qué costes y límites debo comparar antes de elegir Marker?",
          "a": "El código Marker es Apache-2.0, pero los pesos usan AI Pubs Open Rail-M modificada: investigación, uso personal y empresas por debajo de USD 5 millones de financiación/ingresos pueden usarlos gratis; otros usos comerciales requieren licencia. La API alojada se cobra aparte."
        }
      ],
      "selection_evidence": {
        "tasks": {
          "note": "Clasificación editorial de las funciones documentadas; no es una prueba de rendimiento."
        },
        "form_factor": {
          "note": "Clasificación editorial de las funciones documentadas; no es una prueba de rendimiento."
        },
        "platforms": {
          "note": "La revisión de fuentes de esta entrada no estableció este dato del producto."
        },
        "deployment": {
          "note": "Clasificación editorial de las funciones documentadas; no es una prueba de rendimiento."
        },
        "offline": {
          "note": "La revisión de fuentes de esta entrada no estableció este dato del producto."
        },
        "regions": {
          "note": "La revisión de fuentes de esta entrada no estableció este dato del producto."
        },
        "api": {
          "note": "La revisión de fuentes de esta entrada no estableció este dato del producto."
        },
        "license": {
          "note": "La revisión de fuentes de esta entrada no estableció este dato del producto."
        },
        "commercial_use": {
          "note": "La revisión de fuentes de esta entrada no estableció este dato del producto."
        },
        "languages": {
          "note": "La revisión de fuentes de esta entrada no estableció este dato del producto."
        },
        "billing": {
          "note": "Clasificación editorial de las funciones documentadas; no es una prueba de rendimiento."
        }
      },
      "facts": {
        "marker.capability.primary": {
          "value": "Conversión de PDF a Markdown y JSON"
        }
      }
    },
    "fr": {
      "description": "Projet Datalab convertissant les PDF en Markdown et JSON structuré.",
      "overview": "Usages courants : Ingestion documentaire pour RAG; Extraction de contenu structuré. Fonctions documentées : Conversion des PDF en Markdown et JSON; Conservation des tableaux, images et mise en page; Correction facultative par LLM pendant la conversion.",
      "features": [
        "Conversion des PDF en Markdown et JSON",
        "Conservation des tableaux, images et mise en page",
        "Correction facultative par LLM pendant la conversion"
      ],
      "use_cases": [
        "Ingestion documentaire pour RAG",
        "Extraction de contenu structuré"
      ],
      "pricing_notes": "Le code Marker est Apache-2.0, mais les poids suivent une licence AI Pubs Open Rail-M modifiée : gratuité pour recherche, usage personnel et entreprises sous 5 millions USD de financement/revenus ; au-delà, licence commerciale. L’API hébergée est distincte.",
      "faq": [
        {
          "q": "Quelle place occupe Marker dans un parcours de travail ?",
          "a": "Projet Datalab convertissant les PDF en Markdown et JSON structuré. Conversion des PDF en Markdown et JSON."
        },
        {
          "q": "Quels coûts et limites comparer avant de choisir Marker ?",
          "a": "Le code Marker est Apache-2.0, mais les poids suivent une licence AI Pubs Open Rail-M modifiée : gratuité pour recherche, usage personnel et entreprises sous 5 millions USD de financement/revenus ; au-delà, licence commerciale. L’API hébergée est distincte."
        }
      ],
      "selection_evidence": {
        "tasks": {
          "note": "Classement éditorial des fonctions documentées ; aucun test de performance."
        },
        "form_factor": {
          "note": "Classement éditorial des fonctions documentées ; aucun test de performance."
        },
        "platforms": {
          "note": "L’examen des sources de cette fiche n’a pas établi ce point du produit."
        },
        "deployment": {
          "note": "Classement éditorial des fonctions documentées ; aucun test de performance."
        },
        "offline": {
          "note": "L’examen des sources de cette fiche n’a pas établi ce point du produit."
        },
        "regions": {
          "note": "L’examen des sources de cette fiche n’a pas établi ce point du produit."
        },
        "api": {
          "note": "L’examen des sources de cette fiche n’a pas établi ce point du produit."
        },
        "license": {
          "note": "L’examen des sources de cette fiche n’a pas établi ce point du produit."
        },
        "commercial_use": {
          "note": "L’examen des sources de cette fiche n’a pas établi ce point du produit."
        },
        "languages": {
          "note": "L’examen des sources de cette fiche n’a pas établi ce point du produit."
        },
        "billing": {
          "note": "Classement éditorial des fonctions documentées ; aucun test de performance."
        }
      },
      "facts": {
        "marker.capability.primary": {
          "value": "Conversion des PDF en Markdown et JSON"
        }
      }
    },
    "ja": {
      "description": "DatalabによるPDFからMarkdownと構造化JSONへの文書変換プロジェクト。",
      "overview": "主な用途はRAG用文書の取り込み、文書内容の構造化抽出です。資料に記載された機能：PDF文書をMarkdownとJSONに変換；表、画像、文書レイアウトの保持；変換時の任意のLLM補正。",
      "features": [
        "PDF文書をMarkdownとJSONに変換",
        "表、画像、文書レイアウトの保持",
        "変換時の任意のLLM補正"
      ],
      "use_cases": [
        "RAG用文書の取り込み",
        "文書内容の構造化抽出"
      ],
      "pricing_notes": "MarkerのコードはApache-2.0ですが、重みは修正AI Pubs Open Rail-Mです。研究、個人、資金調達額と収益が500万米ドル未満の企業は無料で、基準を超える商用にはライセンスが必要です。Datalabのホスト型APIは別の従量サービスです。",
      "faq": [
        {
          "q": "Markerはワークフローのどの部分に向いていますか？",
          "a": "DatalabによるPDFからMarkdownと構造化JSONへの文書変換プロジェクト。 PDF文書をMarkdownとJSONに変換."
        },
        {
          "q": "Markerを選ぶ前に比較すべき費用や制限は何ですか？",
          "a": "MarkerのコードはApache-2.0ですが、重みは修正AI Pubs Open Rail-Mです。研究、個人、資金調達額と収益が500万米ドル未満の企業は無料で、基準を超える商用にはライセンスが必要です。Datalabのホスト型APIは別の従量サービスです。"
        }
      ],
      "selection_evidence": {
        "tasks": {
          "note": "記録された機能に基づく編集上の分類であり、性能の実測ではありません。"
        },
        "form_factor": {
          "note": "記録された機能に基づく編集上の分類であり、性能の実測ではありません。"
        },
        "platforms": {
          "note": "この項目の資料確認では、この製品固有の情報は未確認です。"
        },
        "deployment": {
          "note": "記録された機能に基づく編集上の分類であり、性能の実測ではありません。"
        },
        "offline": {
          "note": "この項目の資料確認では、この製品固有の情報は未確認です。"
        },
        "regions": {
          "note": "この項目の資料確認では、この製品固有の情報は未確認です。"
        },
        "api": {
          "note": "この項目の資料確認では、この製品固有の情報は未確認です。"
        },
        "license": {
          "note": "この項目の資料確認では、この製品固有の情報は未確認です。"
        },
        "commercial_use": {
          "note": "この項目の資料確認では、この製品固有の情報は未確認です。"
        },
        "languages": {
          "note": "この項目の資料確認では、この製品固有の情報は未確認です。"
        },
        "billing": {
          "note": "記録された機能に基づく編集上の分類であり、性能の実測ではありません。"
        }
      },
      "facts": {
        "marker.capability.primary": {
          "value": "PDF文書をMarkdownとJSONに変換"
        }
      }
    },
    "de": {
      "description": "Datalab-Projekt zur Umwandlung von PDFs in Markdown und strukturiertes JSON.",
      "overview": "Typische Anwendungen: Dokumentimport für RAG; Extraktion strukturierter Dokumentinhalte. Dokumentierte Funktionen: PDF-Dokumente in Markdown und JSON umwandeln; Tabellen, Bilder und Dokumentlayout erhalten; Optionale LLM-gestützte Korrektur bei der Konvertierung.",
      "features": [
        "PDF-Dokumente in Markdown und JSON umwandeln",
        "Tabellen, Bilder und Dokumentlayout erhalten",
        "Optionale LLM-gestützte Korrektur bei der Konvertierung"
      ],
      "use_cases": [
        "Dokumentimport für RAG",
        "Extraktion strukturierter Dokumentinhalte"
      ],
      "pricing_notes": "Marker-Code ist Apache-2.0, die Gewichte nutzen geänderte AI-Pubs-Open-Rail-M-Bedingungen: Forschung, Privatnutzung und Firmen unter 5 Millionen USD Finanzierung/Umsatz sind kostenlos; größere kommerzielle Nutzung braucht eine Lizenz. Die gehostete API wird separat berechnet.",
      "faq": [
        {
          "q": "Wo passt Marker in den Arbeitsablauf?",
          "a": "Datalab-Projekt zur Umwandlung von PDFs in Markdown und strukturiertes JSON. PDF-Dokumente in Markdown und JSON umwandeln."
        },
        {
          "q": "Welche Kosten und Limits sollte ich vor der Wahl von Marker vergleichen?",
          "a": "Marker-Code ist Apache-2.0, die Gewichte nutzen geänderte AI-Pubs-Open-Rail-M-Bedingungen: Forschung, Privatnutzung und Firmen unter 5 Millionen USD Finanzierung/Umsatz sind kostenlos; größere kommerzielle Nutzung braucht eine Lizenz. Die gehostete API wird separat berechnet."
        }
      ],
      "selection_evidence": {
        "tasks": {
          "note": "Redaktionelle Einordnung dokumentierter Funktionen; kein Leistungstest."
        },
        "form_factor": {
          "note": "Redaktionelle Einordnung dokumentierter Funktionen; kein Leistungstest."
        },
        "platforms": {
          "note": "Die Quellenprüfung dieses Eintrags hat dieses Produktfeld nicht belegt."
        },
        "deployment": {
          "note": "Redaktionelle Einordnung dokumentierter Funktionen; kein Leistungstest."
        },
        "offline": {
          "note": "Die Quellenprüfung dieses Eintrags hat dieses Produktfeld nicht belegt."
        },
        "regions": {
          "note": "Die Quellenprüfung dieses Eintrags hat dieses Produktfeld nicht belegt."
        },
        "api": {
          "note": "Die Quellenprüfung dieses Eintrags hat dieses Produktfeld nicht belegt."
        },
        "license": {
          "note": "Die Quellenprüfung dieses Eintrags hat dieses Produktfeld nicht belegt."
        },
        "commercial_use": {
          "note": "Die Quellenprüfung dieses Eintrags hat dieses Produktfeld nicht belegt."
        },
        "languages": {
          "note": "Die Quellenprüfung dieses Eintrags hat dieses Produktfeld nicht belegt."
        },
        "billing": {
          "note": "Redaktionelle Einordnung dokumentierter Funktionen; kein Leistungstest."
        }
      },
      "facts": {
        "marker.capability.primary": {
          "value": "PDF-Dokumente in Markdown und JSON umwandeln"
        }
      }
    },
    "pt": {
      "description": "Projeto Datalab para converter PDFs em Markdown e JSON estruturado.",
      "overview": "Usos comuns: Ingestão documental para RAG; Extração de conteúdo estruturado. Recursos documentados: Conversão de PDF em Markdown e JSON; Preservação de tabelas, imagens e layout; Correção opcional com LLM durante a conversão.",
      "features": [
        "Conversão de PDF em Markdown e JSON",
        "Preservação de tabelas, imagens e layout",
        "Correção opcional com LLM durante a conversão"
      ],
      "use_cases": [
        "Ingestão documental para RAG",
        "Extração de conteúdo estruturado"
      ],
      "pricing_notes": "O código Marker é Apache-2.0, mas os pesos usam AI Pubs Open Rail-M modificada: pesquisa, uso pessoal e empresas abaixo de USD 5 milhões em financiamento/receita têm uso gratuito; uso comercial maior exige licença. A API hospedada é separada.",
      "faq": [
        {
          "q": "Em que parte do fluxo Marker se encaixa?",
          "a": "Projeto Datalab para converter PDFs em Markdown e JSON estruturado. Conversão de PDF em Markdown e JSON."
        },
        {
          "q": "Quais custos e limites comparar antes de escolher Marker?",
          "a": "O código Marker é Apache-2.0, mas os pesos usam AI Pubs Open Rail-M modificada: pesquisa, uso pessoal e empresas abaixo de USD 5 milhões em financiamento/receita têm uso gratuito; uso comercial maior exige licença. A API hospedada é separada."
        }
      ],
      "selection_evidence": {
        "tasks": {
          "note": "Classificação editorial dos recursos documentados; não é um teste de desempenho."
        },
        "form_factor": {
          "note": "Classificação editorial dos recursos documentados; não é um teste de desempenho."
        },
        "platforms": {
          "note": "A revisão de fontes desta entrada não estabeleceu este dado do produto."
        },
        "deployment": {
          "note": "Classificação editorial dos recursos documentados; não é um teste de desempenho."
        },
        "offline": {
          "note": "A revisão de fontes desta entrada não estabeleceu este dado do produto."
        },
        "regions": {
          "note": "A revisão de fontes desta entrada não estabeleceu este dado do produto."
        },
        "api": {
          "note": "A revisão de fontes desta entrada não estabeleceu este dado do produto."
        },
        "license": {
          "note": "A revisão de fontes desta entrada não estabeleceu este dado do produto."
        },
        "commercial_use": {
          "note": "A revisão de fontes desta entrada não estabeleceu este dado do produto."
        },
        "languages": {
          "note": "A revisão de fontes desta entrada não estabeleceu este dado do produto."
        },
        "billing": {
          "note": "Classificação editorial dos recursos documentados; não é um teste de desempenho."
        }
      },
      "facts": {
        "marker.capability.primary": {
          "value": "Conversão de PDF em Markdown e JSON"
        }
      }
    },
    "ko": {
      "description": "PDF에서 Markdown과 구조화 JSON을 추출하는 Datalab 문서 변환 프로젝트입니다.",
      "overview": "주요 용도는 RAG 문서 수집; 문서 내용의 구조화 추출입니다. 문서에 명시된 기능: PDF 문서를 Markdown 및 JSON으로 변환; 표, 이미지, 문서 레이아웃 보존; 변환 중 선택적 LLM 보정.",
      "features": [
        "PDF 문서를 Markdown 및 JSON으로 변환",
        "표, 이미지, 문서 레이아웃 보존",
        "변환 중 선택적 LLM 보정"
      ],
      "use_cases": [
        "RAG 문서 수집",
        "문서 내용의 구조화 추출"
      ],
      "pricing_notes": "Marker 코드는 Apache-2.0이지만 가중치는 수정 AI Pubs Open Rail-M 조건입니다. 연구, 개인, 투자금과 매출이 500만 달러 미만인 기업은 무료이며 이를 넘는 상업 이용은 라이선스가 필요합니다. Datalab 호스팅 API는 별도 종량제입니다.",
      "faq": [
        {
          "q": "Marker은(는) 워크플로의 어느 단계에 적합한가요?",
          "a": "PDF에서 Markdown과 구조화 JSON을 추출하는 Datalab 문서 변환 프로젝트입니다. PDF 문서를 Markdown 및 JSON으로 변환."
        },
        {
          "q": "Marker 선택 전에 어떤 비용과 제한을 비교해야 하나요?",
          "a": "Marker 코드는 Apache-2.0이지만 가중치는 수정 AI Pubs Open Rail-M 조건입니다. 연구, 개인, 투자금과 매출이 500만 달러 미만인 기업은 무료이며 이를 넘는 상업 이용은 라이선스가 필요합니다. Datalab 호스팅 API는 별도 종량제입니다."
        }
      ],
      "selection_evidence": {
        "tasks": {
          "note": "문서화된 기능에 따른 편집상 분류이며 성능 실측이 아닙니다."
        },
        "form_factor": {
          "note": "문서화된 기능에 따른 편집상 분류이며 성능 실측이 아닙니다."
        },
        "platforms": {
          "note": "이 항목의 출처 검토에서 해당 제품 정보를 확인하지 못했습니다."
        },
        "deployment": {
          "note": "문서화된 기능에 따른 편집상 분류이며 성능 실측이 아닙니다."
        },
        "offline": {
          "note": "이 항목의 출처 검토에서 해당 제품 정보를 확인하지 못했습니다."
        },
        "regions": {
          "note": "이 항목의 출처 검토에서 해당 제품 정보를 확인하지 못했습니다."
        },
        "api": {
          "note": "이 항목의 출처 검토에서 해당 제품 정보를 확인하지 못했습니다."
        },
        "license": {
          "note": "이 항목의 출처 검토에서 해당 제품 정보를 확인하지 못했습니다."
        },
        "commercial_use": {
          "note": "이 항목의 출처 검토에서 해당 제품 정보를 확인하지 못했습니다."
        },
        "languages": {
          "note": "이 항목의 출처 검토에서 해당 제품 정보를 확인하지 못했습니다."
        },
        "billing": {
          "note": "문서화된 기능에 따른 편집상 분류이며 성능 실측이 아닙니다."
        }
      },
      "facts": {
        "marker.capability.primary": {
          "value": "PDF 문서를 Markdown 및 JSON으로 변환"
        }
      }
    }
  },
  "verification": {
    "last_checked": "2026-11-03",
    "batch": "catalog-500-20261103",
    "source_review": "Official product pages read; no product-performance test.",
    "reviewed_sources": [
      "https://github.com/datalab-to/marker",
      "https://www.datalab.to/",
      "https://www.datalab.to/pricing"
    ],
    "egress_region": "unknown",
    "owner": "technical",
    "gap_note": "Only documented product scope and supplied claims were reviewed. Fields left unknown were not established for this entry; no launch date, geographic guarantee or licence is inferred."
  },
  "url": "https://globalaiproductindex.com/products/marker/"
}