Is Humata a private way to work with my documents?

Humata takes privacy seriously — it encrypts data (AES-256 in transit and at rest), is SOC 2 Type II compliant, and says it doesn't train its models on your data. Credit where it's due. The structural difference is that Humata is a cloud service: your file is uploaded and stored in its dashboard until you delete it. AttachKit never uploads the file at all — it runs in your browser (confirm it in DevTools → Network), and only extracted text reaches the model. For the AI features, Local AI mode keeps even that on your own machine; the agent's planning step is the cloud-only exception.

Can Humata edit or sign my PDF?

No — Humata is read-only. It reads, summarizes, and answers questions across your files, but it can't fill a form, redact, sign, or reorganize pages. That's the gap AttachKit fills: its agent takes a plain-language instruction, proposes the exact edits, and applies them after you approve — plus fill, redaction, and verifiable signing as tools in their own right.

Should I use Humata or AttachKit?

They do different jobs. Humata is a research library — upload a corpus and ask cross-file questions with citations; it's excellent for that, especially for teams. AttachKit is for acting on a single document — fill, redact, sign, reorganize — without the file ever being uploaded or stored. Many people will want both: Humata to understand a set of documents, AttachKit to change one privately.

Is AttachKit cheaper than Humata?

It depends on use. Humata's free plan is capped at 60 pages/month; paid plans run from $9.99/mo (Expert) to $49/user/mo (Team), billed monthly (prices change — check their page). AttachKit's free tier is broadly useful (unlimited fill/redact/OCR + 10 AI actions/mo) and Pro is a flat $12/mo (or $120/yr) with 200 AI actions/mo. But since they solve different problems, the honest answer is to price them against the job you need done.

Alternative · Humata AI

AttachKit vs. Humata AI — a private editor vs. a cloud research library

Humata AI: A "ChatGPT for your files" research tool — upload documents to ask cross-file questions and get cited answers, aimed at researchers and teams.

Humata is a strong document-research tool: upload one file or hundreds and its AI answers questions across your whole library, summarizes complex documents, compares them, and links every answer back to the exact source passage — built for researchers, students, and teams. Its privacy posture is genuinely good: encryption in transit and at rest (AES-256), SOC 2 Type II compliance, and a stated policy of not training its models on your data. The difference from AttachKit is structural, not a knock on Humata's security: Humata is a cloud service, so your document is uploaded and stored in its dashboard (on AWS/GCP/Supabase) until you delete it, and Humata is read-only — it reads and answers, it doesn't change the file. AttachKit keeps the PDF in your browser (it's never uploaded — provable in DevTools → Network) and its agent ACTS on the document: fill, redact, sign, reorganize, with only extracted text ever reaching the AI.

Why pick AttachKit for these cases

Your file never leaves the browser; Humata uploads and stores it in your dashboard until you delete it. Only extracted text ever reaches the model.
An agent that edits the PDF — fill, redact, sign, reorganize — where Humata is strictly read-only.
Verifiable, content-bound e-signatures anyone can check on any device — Humata doesn't sign or edit at all.
Optional Local AI mode (your own Ollama) keeps even the extracted text on your machine — the agent's planning step stays cloud-only.
Nothing stored on a server to retain, breach, or have to delete — the privacy is architectural, not a policy you have to trust.

Side-by-side

A marks the side with the genuine advantage on that row — honestly, including the few where Humata AI wins.

Where your file goes

Humata AIUploaded to Humata's cloud and stored in your dashboard (on AWS/GCP/Supabase) until you delete it. Humata states it encrypts data (AES-256 / TLS), is SOC 2 Type II compliant, and does not train its models on your data — a strong posture, but the file still leaves your device.

AttachKitNowhere — the PDF stays in your browser, verifiable in DevTools → Network. Only extracted text is sent to the AI, never the file, and nothing is stored on a server.

What the AI does

Humata AIReads — cross-file Q&A, summaries, document comparison, and cited answers that link back to the source passage. It's a knowledge base you query.

AttachKitActs — an agent that proposes fill / replace-text / delete / reorder / extract / stamp / watermark / number edits you approve before anything changes, and answers questions about the open doc with page cites.

Editing the PDF

Humata AINone — Humata is strictly read-only. It can't fill a form, redact, sign, or reorganize pages; all of its value is extracting information out of documents, not producing a changed one.

AttachKitThe core purpose — fill, sign (PAdES-aligned, verifiable), redact with PII detection, reorder/extract pages, convert, OCR — all in your browser.

Multi-document research & citations

Humata AIA genuine strength — upload a large corpus and ask questions that aggregate across every file, with answers linked to the exact source passages. Excellent for literature review and legal/research reading.

AttachKitAttachKit's agent works on the document in front of you and isn't a multi-document research library with cross-file citations. For querying a whole corpus, Humata is the better tool.

Team knowledge sharing

Humata AIShared team files, department/folder permissions, an embeddable Q&A widget, OCR on the Team tier, and SSO (Okta/Google/SAML) let a whole team query the same document set.

AttachKitA single-user, client-side app. There's no shared cloud library or team permission model — by design, since nothing is stored on a server.

Price

Humata AIFree ($0, 1 user, 60 pages/mo); Expert $9.99/mo (up to 3 users, 500 pages/mo, then $0.02/page); Team $49/user/mo (up to 10 users, 5,000 pages/mo, OCR, permissions); Enterprise custom. Billed monthly. Prices change — check their page.

AttachKitFree: unlimited fill/redact/OCR + 10 AI actions/mo (edited-PDF exports capped on Free; unlimited on paid). Pro $12/mo (or $120/yr — $10/mo) with 200 AI actions/mo; Max $19/mo adds 500.

Local-only AI option

Humata AICloud-based — your uploaded document is processed on Humata's infrastructure to generate answers (it states it doesn't train on your data).

AttachKitOptional Local AI mode runs the AI features (auto-fill, PII detection, clause review, single-doc Q&A) on your own Ollama, so no third-party AI sees even the extracted text. The agent's planning step is cloud-only and isn't covered by Local AI mode.

	Humata AI	AttachKit
Where your file goes	Uploaded to Humata's cloud and stored in your dashboard (on AWS/GCP/Supabase) until you delete it. Humata states it encrypts data (AES-256 / TLS), is SOC 2 Type II compliant, and does not train its models on your data — a strong posture, but the file still leaves your device.	Nowhere — the PDF stays in your browser, verifiable in DevTools → Network. Only extracted text is sent to the AI, never the file, and nothing is stored on a server.
What the AI does	Reads — cross-file Q&A, summaries, document comparison, and cited answers that link back to the source passage. It's a knowledge base you query.	Acts — an agent that proposes fill / replace-text / delete / reorder / extract / stamp / watermark / number edits you approve before anything changes, and answers questions about the open doc with page cites.
Editing the PDF	None — Humata is strictly read-only. It can't fill a form, redact, sign, or reorganize pages; all of its value is extracting information out of documents, not producing a changed one.	The core purpose — fill, sign (PAdES-aligned, verifiable), redact with PII detection, reorder/extract pages, convert, OCR — all in your browser.
Multi-document research & citations	A genuine strength — upload a large corpus and ask questions that aggregate across every file, with answers linked to the exact source passages. Excellent for literature review and legal/research reading.	AttachKit's agent works on the document in front of you and isn't a multi-document research library with cross-file citations. For querying a whole corpus, Humata is the better tool.
Team knowledge sharing	Shared team files, department/folder permissions, an embeddable Q&A widget, OCR on the Team tier, and SSO (Okta/Google/SAML) let a whole team query the same document set.	A single-user, client-side app. There's no shared cloud library or team permission model — by design, since nothing is stored on a server.
Price	Free ($0, 1 user, 60 pages/mo); Expert $9.99/mo (up to 3 users, 500 pages/mo, then $0.02/page); Team $49/user/mo (up to 10 users, 5,000 pages/mo, OCR, permissions); Enterprise custom. Billed monthly. Prices change — check their page.	Free: unlimited fill/redact/OCR + 10 AI actions/mo (edited-PDF exports capped on Free; unlimited on paid). Pro $12/mo (or $120/yr — $10/mo) with 200 AI actions/mo; Max $19/mo adds 500.
Local-only AI option	Cloud-based — your uploaded document is processed on Humata's infrastructure to generate answers (it states it doesn't train on your data).	Optional Local AI mode runs the AI features (auto-fill, PII detection, clause review, single-doc Q&A) on your own Ollama, so no third-party AI sees even the extracted text. The agent's planning step is cloud-only and isn't covered by Local AI mode.

Switching questions, answered

Is Humata a private way to work with my documents?: Humata takes privacy seriously — it encrypts data (AES-256 in transit and at rest), is SOC 2 Type II compliant, and says it doesn't train its models on your data. Credit where it's due. The structural difference is that Humata is a cloud service: your file is uploaded and stored in its dashboard until you delete it. AttachKit never uploads the file at all — it runs in your browser (confirm it in DevTools → Network), and only extracted text reaches the model. For the AI features, Local AI mode keeps even that on your own machine; the agent's planning step is the cloud-only exception.
Can Humata edit or sign my PDF?: No — Humata is read-only. It reads, summarizes, and answers questions across your files, but it can't fill a form, redact, sign, or reorganize pages. That's the gap AttachKit fills: its agent takes a plain-language instruction, proposes the exact edits, and applies them after you approve — plus fill, redaction, and verifiable signing as tools in their own right.
Should I use Humata or AttachKit?: They do different jobs. Humata is a research library — upload a corpus and ask cross-file questions with citations; it's excellent for that, especially for teams. AttachKit is for acting on a single document — fill, redact, sign, reorganize — without the file ever being uploaded or stored. Many people will want both: Humata to understand a set of documents, AttachKit to change one privately.
Is AttachKit cheaper than Humata?: It depends on use. Humata's free plan is capped at 60 pages/month; paid plans run from $9.99/mo (Expert) to $49/user/mo (Team), billed monthly (prices change — check their page). AttachKit's free tier is broadly useful (unlimited fill/redact/OCR + 10 AI actions/mo) and Pro is a flat $12/mo (or $120/yr) with 200 AI actions/mo. But since they solve different problems, the honest answer is to price them against the job you need done.

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