Molku
Molku extracts data from any document and auto-fills your PDF or Google Sheets templates — set the mapping once, reuse it forever.
If your bottleneck is retyping the same fields out of PDFs into a spreadsheet, Molku's drag-and-drop setup is one of the fastest ways to stop doing that — and its handwritten text recognition covers forms that cheaper extractors usually miss. The catch is volume: credits, not documents, are the ceiling. Pro at $49/mo gives 300 credits and Ultra at $99/mo gives 700, with overage at $0.14 per credit, so a month of 1,000-document batches outruns the published plans. For deep enterprise review workflows or on-prem requirements, look upmarket at Rossum or Docsumo.
Verified 6d ago · liveness 56/100 · cite: rightaichoice.com/tools/molku
- Finance and accounting teams pulling invoice and statement data into reports
- Insurance agencies auto-filling quotes, claims, and policy documents
- Legal teams extracting contract points into standard summaries
- Logistics and supply chain teams creating client invoices from supplier docs
- Teams processing thousands of documents monthly — published plans cap at 700 credits (Ultra, $99/mo)
- Organizations that require on-premise or self-hosted deployment
- Workflows needing real-time collaborative document editing
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Skip Molku if you process thousands of documents a month against named credit ceilings, need on-prem or self-hosted deployment, or want a full document editor with real-time collaboration rather than a one-way extract-and-transfer tool.
Credits beyond your monthly allocation on the Ultra plan cost $0.14 each, which adds up quickly in a high-volume month.
Free (50 one-time credits) fits testing a single workflow. Starter at $19/mo (100 credits) suits an individual doing occasional document work. Pro at $49/mo (300 credits) suits a small team on daily runs, and Ultra at $99/mo (700 credits) covers heavier single-workflow volume. Past 700 credits a month you are outside the published plans — lighter than Rossum or Docsumo enterprise contracts, but not built for batch-scale document operations.
In short
Molku — Molku extracts data from any document and auto-fills your PDF or Google Sheets templates — set the mapping once, reuse it forever. Best for Finance and accounting teams pulling invoice and statement data into reports, Insurance agencies auto-filling quotes, claims, and policy documents, Legal teams extracting contract points into standard summaries. Free to start; paid plans from $19/mo.
What people actually say about Molku — is it worth it?
We scanned public community sources for Molku on Jul 3, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Molku? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- AI data extraction from PDFs, images, and scanned documents
- Auto-fill PDF and Google Sheets output templates
- Handwritten text recognition (HTR) for forms and handwritten notes
- Drag-and-drop field mapping built once against a sample file
- Advanced data modifications: text replacement, calculations, field merging
- Customizable prompts to control how AI modifies data before transfer
- Document standardization turning messy PDFs into structured templates
- Auto-translate extracted data between 100+ languages at transfer
- Batch runs against the same template
- Select only required data from documents — names, dates, prices
- Download, share by link or email, and collaborate on filled outputs
- REST API access to embed Molku in your own apps or sites
- Zapier and Make integrations connecting to 8000+ apps
- 256-bit AES encryption with files stored in Amazon S3
- Private processing, encrypted storage, backups, and secure login
About Molku
Molku is an AI document data-extraction tool for people who lose hours to copy-paste. You upload a sample source document (CV, invoice, claim form, affidavit) plus the output template you want filled — a PDF or a Google Sheet — then drag fields into place to show Molku where each value belongs. Every later file with the same structure gets filled automatically. The build-once workflow is the core idea: setup is a no-code drag-and-drop mapping, and after that there is nothing to re-configure per file. Molku handles complex layouts and large files, including handwritten pages via its handwritten text recognition, so notes and forms that trip up plain OCR still land in your template. Before transfer you can modify data with customizable prompts — replace text, run calculations, standardize formats, merge fields. Document standardization turns messy PDFs into structured templates so outputs plug into downstream automations. Language coverage runs to 100+ languages with auto-translation at transfer time, so extracted data lands in your target language. Outputs can be downloaded, shared by link or email, or handled by teammates. For automation, Zapier, Make, and an open REST API connect Molku to 8000+ apps, and the vendor documents 256-bit AES encryption with files stored in Amazon S3, private processing, encrypted storage, backups, and secure login. Credit-based pricing (Free 50 one-time credits, Starter $19/mo for 100 credits, Pro $49/mo for 300 credits, Ultra $99/mo for 700 credits) keeps it accessible for individuals and small teams doing occasional to daily document work. Compared with heavier platforms like Docsumo or Rossum, Molku leans on fast setup and a low entry price rather than deep enterprise document-AI customization.
Behind the Verdict
Molku's pitch is narrow and honest: it is a transfer tool, not a document editor or a review platform. You build one mapping against a sample file — upload the source, upload the output template (PDF or Google Sheet), drag fields into the spots they belong — and from then on every same-structured file fills itself. That build-once model is where the time savings come from, and it is why the setup is minutes rather than a project. What it does well: - Handwritten text recognition. Forms and handwritten notes are the hardest extraction case, and Molku captures them rather than requiring you to retype. - Data modification before transfer. You can replace text, run calculations, standardize formats, and merge fields with customizable prompts, so the output lands in the shape your downstream sheet or report actually expects — not raw strings you clean later. - Document standardization. Messy PDFs come back in a uniform template, which is what makes the output usable in an automation chain rather than just readable by a human. - Language range. 100+ languages with auto-translation at transfer, so a document in one language can land in your template in another. - Automation surface. Zapier, Make, and an open REST API extend Molku's output to 8,000+ apps, and security is documented as 256-bit AES encryption with files in Amazon S3, private processing, and encrypted storage. Where it stops: - Credits are the meter, not documents. Pro is 300 credits a month at $49, Ultra 700 at $99, and past your allocation you pay $0.14 per credit. Anyone processing thousands of documents a month runs off the published plans quickly; scope a custom arrangement before committing if your volume is batch-scale. - It is a transfer tool, not a full document platform. No real-time collaborative editing, no mobile app — you work from a desktop browser. - Self-hosted deployment is not part of the standard offering, so regulated buyers with on-prem mandates need to look elsewhere. - Accuracy depends on layout and handwriting quality; the vendor itself flags that complex layouts and handwriting can reduce it, which is why the build-once mapping matters — you verify once and reuse. Where it fits: finance and accounting teams pulling invoice and statement data into reports, insurance agencies auto-filling quotes, claims, and policy documents, legal teams extracting contract points into summaries, logistics teams turning supplier documents into client invoices, and healthcare admins moving patient information into templates. If your team does that work manually today, Molku's setup-to-value ratio is hard to beat.
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Real-world workflow fit
Concrete scenarios for the personas Molku actually fits — and what changes day-one when you adopt it.
Uploads one sample supplier invoice and an Excel/Google Sheets ledger template, drags vendor name, invoice number, date, line items and total into place, then drops each new invoice into the same workflow.
Outcome: Every subsequent invoice fills the ledger row in seconds instead of being retyped, and the standardized output feeds directly into the accounting report.
Builds a mapping between a sample claim form (including handwritten fields) and the agency's policy PDF template, then runs new claims through it. Customizable prompts standardize date formats and merge first/last name fields.
Outcome: Quotes, claims, and policy documents are auto-filled from scanned and handwritten forms, and the agency reports saving over 60 hours a month on this work.
Uploads a sample contract and a summary template, selects the key clauses to extract, and sets prompts to replace and standardize contract terminology before transfer. New contracts go through the same workflow.
Outcome: Contract points land in a uniform summary template rather than free-form notes, so review and approval move faster.
Use Cases
- Extract invoice data and transfer it into accounting reports
- Auto-fill insurance quotes, claims, and policy documents from source files
- Convert scanned receipts into spreadsheet records
- Automate form entry from PDFs into databases
- Digitize contract fields into standardized summaries for legal review
- Pull supplier document data to create client invoices automatically
- Transfer patient information from intake documents into templates
- Standardize messy PDFs into a uniform structure for downstream automation
Limitations
- Free plan gives 50 credits as a one-time allocation rather than a monthly refresh, which is a smaller ongoing allowance than the paid tiers.
- Accuracy can be lower on complex layouts and handwritten documents — the vendor documents both as harder cases.
- On-premise deployment is not part of the standard offering.
- There is no mobile app, so you work from a desktop browser, and real-time collaboration on documents is not supported.
- Volume is metered in credits, not documents: Pro is 300 credits a month and Ultra 700, with overage at $0.14 per credit on Ultra, so batch-scale processing outruns the published plans.
as of 2026-10-02
Verification history
We have re-verified Molku 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 7 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Molku tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0
Ideal for
An individual testing whether Molku can handle their document type before paying — a single workflow, a handful of files.
What this tier adds
Free entry point: 50 credits as a one-time allocation rather than a monthly refresh, with full workflow setup and drag-and-drop mapping.
Starter
$19/mo
Ideal for
A solo operator or small business doing occasional to weekly document runs, such as a bookkeeper processing a batch of invoices each month.
What this tier adds
Adds 100 credits per month on top of the free workflow: auto-fill for PDF and Google Sheets templates, handwritten text recognition, auto-translate across 100+ languages, and Zapier, Make and REST API access.
Pro
$49/mo
Ideal for
A small team on daily document work — accounting, insurance back office or legal ops — where 100 credits a month is not enough.
What this tier adds
Raises the monthly allocation to 300 credits and adds batch runs against the same template plus document standardization into structured templates; the vendor marks it the most popular plan.
Ultra
$99/mo
Ideal for
A single heavy workflow or small team that consistently exceeds 300 credits a month but is still under 700.
What this tier adds
Lifts the allocation to 700 credits per month with an overage rate of $0.14 per credit beyond it; same workflow, handwritten text recognition and modification features as the lower tiers.
Where the pricing makes sense
The company stage and team size where Molku's pricing actually pencils out — and where peers do it cheaper.
Free (50 one-time credits) fits testing a single workflow. Starter at $19/mo (100 credits) suits an individual doing occasional document work. Pro at $49/mo (300 credits) suits a small team on daily runs, and Ultra at $99/mo (700 credits) covers heavier single-workflow volume. Past 700 credits a month you are outside the published plans — lighter than Rossum or Docsumo enterprise contracts, but not built for batch-scale document operations.
Setup time & first value
How long it actually takes to get something useful out of Molku — broken out by persona, not the marketing-page minute.
For a single workflow, expect minutes rather than hours: upload a sample source file and your output template, drag fields into place, and you can run the next file immediately. Adding data-modification prompts or a standardization step adds a little more time up front, but that setup is done once per document type and reused for every later file. Teams with several document types typically build
Switching to or from Molku
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual copy-paste: build one drag-and-drop mapping against a sample file, then run every same-structured document through it instead of retyping.
- →From a generic OCR tool: keep the same source documents, but add handwritten text recognition plus pre-transfer modifications so output lands in your template format.
- →From spreadsheet macros: replace the per-file VBA or Apps Script with a built-once template mapping and run new files through Molku.
- →From Zapier/Make-only document steps: insert Molku as the extraction and template-fill step and pass the filled output onward to the rest of the automation.
- ↗To Rossum or Docsumo: if you need enterprise-grade document review workflows or on-premise deployment, those platforms go deeper than Molku's transfer model.
- ↗To a full document editor: if you need real-time collaborative editing on the document itself, Molku is a one-way transfer tool and a dedicated editor covers that gap.
- ↗To an in-house pipeline: Molku's REST API can hand off extracted and standardized data to your own services, so the output template becomes the integration point.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Molku”, and we withheld 6: 6 could not be judged, because “Molku” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Molku.
Official links
Tools that pair well with Molku
Common stack mates teams adopt alongside Molku, with the specific reason each pairing earns its keep.
Lido
Lido extracts data from PDFs, invoices, scans, and handwritten forms into Excel, Google Sheets, or CSV with no templates and no model training.
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AI add-on for Google Sheets and Docs that runs ChatGPT, Claude, and Gemini models to automate formulas, cleanup, and bulk row-level work from a plain-language
Brooked
AI data connector for Google Sheets: query live ERP and warehouse data in plain English and sync edits back.
Featured Head-to-Head Comparisons
Molku vs Presto Voice
Choose Molku if you need affordable document data extraction for invoices/receipts, especially as a freelancer or small business. Choose Presto Voice if you operate a QSR chain and want to automate drive-thru ordering with proven upselling ROI. These tools address completely different problems, so your recommendation comes down to your domain: back-office paperwork vs. front-line drive-thru.
Molku vs Screenplayiq
Pick Molku if you're drowning in paper forms and need to digitize data fast. Pick ScreenplayIQ if you're a screenwriter or producer who wants a data-backed edge on a script's financial potential. They serve completely different workflows—no direct competition.
Molku vs Truleo
Choose Molku if you need affordable automated data extraction from business documents—it's a straightforward solution for accountants, data entry teams, and small businesses. Choose Truleo if you are a law enforcement agency that needs to connect siloed data sources for criminal investigations—it's a specialized intelligence platform with features like jail call analysis and report writing that no general document extractor offers.
Alternatives to Molku
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Lido
Lido extracts data from PDFs, invoices, scans, and handwritten forms into Excel, Google Sheets, or CSV with no templates and no model training.
GPT for Sheets and Docs
AI add-on for Google Sheets and Docs that runs ChatGPT, Claude, and Gemini models to automate formulas, cleanup, and bulk row-level work from a plain-language
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