Make

No source repository is linked to this tool. That is expected for a closed-source product and a gap for anything else.

Nothing has been verified about this tool yet, and no vendor document is being watched for it.

No vendor document is being watched for this tool.

Vendor cloud

Offered as a hosted service on the vendor’s own infrastructure.

No published deployment stack uses this tool yet.

Tools that serve at least one of the same use cases. Open-source alternatives, with the repository facts behind them, have their own page.

Self-hosted alternatives to Make

• SaaS productsAzure AI Document IntelligenceAzure service for OCR, layout analysis, prebuilt document models and custom extraction, deployable in a chosen Azure region and available as a container for local processing.
• Self-hosted projectsComfyUINode-based interface for image and video generation models, where a pipeline is an explicit graph that can be saved, versioned and re-run. Runs locally on your own GPU.
• SaaS productsDeepLTranslation service for text and documents with glossary support, a document API that preserves formatting, and business plans that state how submitted text is handled.
• Hybrid — hosted or self-hostedDifyPlatform for building LLM applications: visual workflow editor, retrieval pipelines, agent tools, prompt management and an API layer. Available self-hosted or as a managed cloud service.
• SaaS productsGoogle Document AIGoogle Cloud service for OCR, form parsing and specialised document processors, with regional processing options and integration into the wider Google Cloud data stack.
• SaaS productsHeyGenVideo generation service with avatars, voice cloning and translation of existing footage into other languages with lip synchronisation.
• SaaS productsJasperMarketing content platform with brand voice controls, campaign workflows and channel-specific templates, aimed at teams producing copy at volume.
• Hybrid — hosted or self-hostedn8nWorkflow automation tool with several hundred integrations, branching logic, code steps and AI nodes. Can be self-hosted, which is why it appears in on-premise automation stacks.
• SaaS productsNanonetsHosted document AI service with trainable extraction models, an approval interface and workflow integrations for accounts payable and back-office document types.
• LibrariesPaddleOCROCR toolkit with detection, recognition and layout models, including Chinese and other East Asian scripts, plus table and formula recognition. Runs offline on CPU or GPU.
• Self-hosted projectspaperless-ngxSelf-hosted document management system that OCRs incoming scans and email, applies tags and correspondents through trainable rules, and keeps a searchable archive.
• Self-hosted projectsPostgreSQLRelational database used here as the system of record for documents, metadata and job queues, and — with pgvector — for embeddings as well.

Issue-spotting for this tool under each published jurisdiction, built from the same rules an answer uses. A page with nothing researched says so rather than filling the gap.

• europeMake in European UnionRegulation (EU) 2016/679 (GDPR). Directly applicable in every Member State and unamended as of the review date. An AI deployment engages Articles 5 and 6 on principles and lawful basis, 9 on special categories, 13 and 14 on information, 22 on decisions based solely on automated processing, 28 on processors, 32 on security, 35 on impact assessments and Chapter V on transfers out of the EEA. Member States retain room to legislate on employment, which is where Germany’s BDSG § 26 comes in.
• europeMake in United KingdomUK GDPR, as retained and amended, together with the Data Protection Act 2018. The core duties are unchanged in shape — lawful basis, transparency, purpose limitation, security, processor contracts, international transfers — but the automated decision-making regime now sits in Articles 22A to 22D rather than Article 22. Article 22A defines a decision as based solely on automated processing where there is no meaningful human involvement, and a significant decision as one producing a legal or similarly significant effect. Whether human involvement is meaningful must be considered in light of the extent to which the decision is reached by profiling.
• north-asiaMake in China (mainland)Personal Information Protection Law (PIPL), in force since 1 November 2021. Requires a lawful basis, notice, and separate consent for defined activities including providing personal information to a third party, publicising it, processing sensitive personal information and sending it abroad. Sensitive personal information needs a specific purpose, sufficient necessity and strict protective measures. A personal information protection impact assessment is required before high-risk processing, including any outbound transfer. Article 38 sets the outbound routes. Entrusted processing must be governed by a contract that fixes purpose, period, method and protective measures.
• north-asiaMake in Hong KongPersonal Data (Privacy) Ordinance (Cap. 486). The Ordinance applies to any person who controls the collection, holding, processing or use of personal data, and works through six Data Protection Principles in Schedule 1 covering collection, accuracy and retention, use, security, openness and access. Data processors are not directly regulated: the data user stays responsible and must impose the requirements on its processors by contract or other means. Contravening a Data Protection Principle is not itself an offence, but the Commissioner may issue an enforcement notice and contravening that notice is.
• north-asiaMake in JapanAct on the Protection of Personal Information (個人情報の保護に関する法律, Act No. 57 of 2003). Requires the purpose of use to be specified and adhered to, restricts acquisition and third-party provision, sets security control measures, and imposes duties when personal data is entrusted to a contractor — which is what using a model provider usually is. Transfers to a third party in a foreign country are subject to their own regime, with an information duty to the individual. The e-Gov entry currently shows unenforced provisions pending, so check which version applies before relying on an article number.
• north-asiaMake in South KoreaPersonal Information Protection Act (개인정보 보호법). The version in force is Act No. 20897, effective 2 October 2025. It sets consent and alternative bases, purpose limitation, retention limits, security duties, breach notification and cross-border rules, and since March 2023 has carried Article 37-2, the right of a data subject to object to or refuse a decision made by a completely automated system — expressly including systems applying artificial intelligence — where that decision significantly affects their rights or duties. An amendment promulgated on 10 March 2026 takes effect on 11 September 2026.
• north-asiaMake in TaiwanPersonal Data Protection Act (個人資料保護法). Applies to public and non-public agencies, with separate collection and use rules for each. Notice at collection, purpose limitation, and a set of statutory bases are the core; special categories including medical records, genetic data, sexual life, health examination and criminal records are subject to a narrower regime. Article 21 lets the competent authority restrict international transfer in defined circumstances — under the text in force, that is the central sector regulator, and restrictions are issued sector by sector rather than as a general adequacy list.

No sources were recorded for this answer. Nothing on this page should be treated as verified.