Clean_Name vs Polyfile: Which is Better in 2026?
A comprehensive comparison of Clean_Name and Polyfile covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Clean_Name if:
- →You need a broader feature set (6 features vs 5)
- →You need descriptive filename generated from the document's actual contents or ocr text extraction powered by azure ai
Choose Polyfile if:
- →You want more affordable paid plans (from $15/mo)
- →You need indexes files in place across 20+ apps — no migration, no folder restructuring or ocr, transcription and translation so scans and recordings become searchable
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Clean_Name vs Polyfile: At a Glance
Pricing Comparison: Clean_Name vs Polyfile
Understanding the pricing differences between Clean_Name and Polyfile is crucial for making the right choice. Here's how their plans compare side by side.
Clean_Name Pricing
💡 Pricing takeaway: Both Clean_Name and Polyfile offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from Clean_Name and Polyfile stacks up.
What Makes Each Tool Unique
🔵 Unique to Clean_Name
Features available in Clean_Name but not in Polyfile:
- ✓Descriptive filename generated from the document's actual contents
- ✓OCR text extraction powered by Azure AI
- ✓No signup, no account, and no cost
- ✓Processed in Switzerland and the EU, then discarded — no document storage
- ✓revDSG and GDPR compliant
- ✓Upgrade path to Filently for automatic naming and filing into Google Drive
🟣 Unique to Polyfile
Features available in Polyfile but not in Clean_Name:
- ✓Indexes files in place across 20+ apps — no migration, no folder restructuring
- ✓OCR, transcription and translation so scans and recordings become searchable
- ✓Natural-language semantic search across every connected source
- ✓Virtual storages assemble a working set without duplicating files
- ✓7-day free trial with no credit card on both tiers
Use Case Recommendations
Best for: Clean_Name
Clean_Name solves one small, universal annoyance: PDFs that arrive named scan0001.pdf, document.pdf, final_final_v2.pdf, or IMG_4567.pdf. You drop a PDF into the browser, it runs OCR (the vendor names Azure AI as the text-extraction layer), reads what the document actually is, and returns a descriptive filename — Invoice-89234-Amazon-Nov2024.pdf, Service-Agreement-Microsoft-2024-2026.pdf, Lab-Results-Cholesterol-Panel-Oct2024.pdf. There is no signup, no account, and no cost; the constraints are one file at a time, a 5MB limit, and PDFs only. The privacy posture is the reason to prefer it over a generic uploader: documents are processed in Switzerland and the EU and discarded as soon as processing finishes, with revDSG and GDPR compliance claimed and no document storage at all. It is a free front door for Filently, the paid product from the same team, which extends the same idea into full automation — learning your naming conventions, then naming and filing every incoming document into the right folder in your own Google Drive, at up to 100MB per document. Filently reports 700+ professional users and CASA Tier 2 certification under Google's App Defense Alliance. Clean_Name on its own is genuinely useful standalone, which is what makes it a well-built lead magnet rather than a crippled demo.
Ideal use cases:
- •Teams or individuals who need descriptive filename generated from the document's actual contents
- •Teams or individuals who need ocr text extraction powered by azure ai
- •Teams or individuals who need no signup, no account, and no cost
- •Teams or individuals who need processed in switzerland and the eu, then discarded — no document storage
- •Anyone focused on pdf workflows
- •Anyone focused on ocr workflows
Best for: Polyfile
Polyfile is a search and organisation layer over files scattered across the SaaS apps a small business already uses, and its premise is that the migration step is what kills every other attempt at this problem. It connects to 20+ platforms — Google Drive, Dropbox, email attachments, messaging apps and more — and indexes in place, so nothing moves and no existing folder structure has to be rebuilt. On top of that index it runs the processing that makes scanned and spoken content findable at all: OCR for images and scans, transcription for audio and video, translation, and semantic search that answers natural-language questions rather than matching filenames. Virtual storages let you assemble a working set across sources without duplicating files. The target buyer is stated plainly and is narrower than the usual enterprise-search pitch: agencies, consultants and small businesses, the segment that has files in six places and no IT department to consolidate them. A company workspace, per-user seats and a shared token pool arrive on the Teams tier. Docs, an interactive demo and per-use-case pages are published, and both tiers start with a 7-day free trial that requires no credit card. The vendor frames the whole product around one constraint — that nobody will move six years of files to try a search tool — and every design decision, from in-place indexing to virtual storages, follows from it.
Ideal use cases:
- •Teams or individuals who need indexes files in place across 20+ apps — no migration, no folder restructuring
- •Teams or individuals who need ocr, transcription and translation so scans and recordings become searchable
- •Teams or individuals who need natural-language semantic search across every connected source
- •Teams or individuals who need virtual storages assemble a working set without duplicating files
- •Anyone focused on file-search workflows
- •Anyone focused on ocr workflows
⚡ Other Productivity Tools to Consider
Clean_Name and Polyfile aren't the only options. Here are other popular tools in the same space:
Otter.ai
AI meeting transcription and automated notes
Mem
Self-organizing AI notes and knowledge base
Taskade
AI workspace for tasks, notes, and collaboration
Reclaim AI
AI calendar that auto-schedules tasks and focus time
Motion
AI project manager that auto-plans your day
Reflect
Fast, encrypted notes with AI and backlinks
Is one of these your tool?
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Frequently Asked Questions
Is Clean_Name better than Polyfile?
It depends on your needs. Clean_Name offers 6 key features including Descriptive filename generated from the document's actual contents and OCR text extraction powered by Azure AI, while Polyfile provides 5 features including Indexes files in place across 20+ apps — no migration, no folder restructuring and OCR, transcription and translation so scans and recordings become searchable. Clean_Name uses a free model with a free tier, while Polyfile is paid with free access available. Choose based on which features and pricing model align with your requirements.
Is Clean_Name cheaper than Polyfile?
Clean_Name doesn't have standard paid plans, while Polyfile starts at $15/month. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use Clean_Name and Polyfile together?
Yes, many users combine Clean_Name and Polyfile in their workflow. Clean_Name excels at descriptive filename generated from the document's actual contents, while Polyfile shines with indexes files in place across 20+ apps — no migration, no folder restructuring. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between Clean_Name and Polyfile?
While both are productivity tools, Clean_Name emphasizes descriptive filename generated from the document's actual contents, whereas Polyfile is known for indexes files in place across 20+ apps — no migration, no folder restructuring. The best choice depends on your specific workflow and feature priorities.
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