QuickMergeFile Organizer — Rename, Sort and Find Duplicates
Short answer: To organise a folder of files, choose rules for names, duplicates or file types, review the proposed changes and apply them. QuickMerge processes the files locally in your browser.
Drop a batch of files. On-device analysis reads each document, suggests a real name (not “scan_0423.pdf”), sorts it into a category, and flags exact and near-duplicates — then hands you renamed copies in a ZIP. Nothing is uploaded.
How do I sort a folder of files automatically?
Drag & drop here
or click to browse
Analysis
| Original | Suggested name (editable) | Category | Duplicates |
|---|
Real On-Device Document Intelligence — No Upload, No Account
Every step of this tool is a real algorithm running in your browser. File contents are read with Mozilla's pdf.js, each document is fingerprinted with SHA-256 to catch exact duplicates, word-overlap similarity catches near-duplicates (like a re-export of the same contract), keyword analysis classifies each file as an invoice, receipt, contract, resume, report, letter, or form, and the most prominent first-page text plus any detected date builds a meaningful filename — so scan_0423.pdf becomes invoice-2026-05-14-acme-consulting.pdf.
The suggested names are editable before you export, and the ZIP you download contains untouched copies of your originals — only the names change. Everything runs on your device via open-source browser libraries — your files are never uploaded. You can verify it yourself.
Next steps
Related tools
- see what a document contains — before deciding where it belongs.
- check the hidden details — dates and authors help with filing.
What to do with the result
- combine the files you grouped — once related documents are together.
Browse all text and data tools, or see every QuickMerge tool.
Wondering how big a file this can take? We measured it: see Smart file organizer on the measured limits page, or the browser support matrix.
Frequently Asked Questions
It is deterministic document analysis: cryptographic hashing for duplicates, word-overlap similarity for near-duplicates, keyword scoring for classification, and layout heuristics for naming. No cloud model receives the document; required processing libraries still need to load in the browser.
Files with byte-for-byte identical content are flagged as exact duplicates even if their names differ. Documents whose extracted text overlaps more than ~82% are flagged as similar — typically re-exports or minor revisions of the same document.
PDFs with a text layer and plain-text files. Scanned PDFs without text can still be checked for exact duplicates by their hash — run them through our OCR tool first to give them a text layer. Images are included in duplicate checking too.
No. The downloaded ZIP contains exact copies of your original files under the new names. Your originals on disk are never touched.
Load the batch and let the analysis read each file; suggested names come from the content, so scan-0001.pdf can become something you can search for later.
No. Reading, classification and duplicate detection all run in your browser. For a batch of invoices or contracts this is the whole point.
Exact duplicates are identical files. Near-duplicates are close variants, such as the same document rescanned or a draft beside its final version — reported so you can judge, not deleted automatically.
It needs extractable text. Where a scan has no text layer, run OCR first so there is something to analyse.
It analyses and suggests. You stay in control of what is renamed or removed.
It depends on whether you want something resident or a one-off pass. Installed organizers apply rules to files as they arrive and are the better answer for an inbox folder you want kept tidy permanently. This is the better answer for a backlog: one batch, names read from the content rather than from a pattern, and nothing uploaded.
That is the main thing it is for. Each scan is read and a name is suggested from what the document actually says, so scan_0423.pdf can become something you will find again by searching. Scans with no text layer give it nothing to read — run OCR on those first.
Exact duplicates are identified as identical files. Near-duplicates — a rescan, or a draft next to its final version — are detected as close variants and reported for you to review. Nothing is deleted automatically, because the near-duplicate case genuinely needs a human decision.
No. It analyses the batch you give it and hands back renamed copies in a ZIP. Your originals are exactly as they were, which is deliberate: an automated tidy-up that turns out to have been wrong should be something you can walk away from.
No. Reading, classification and duplicate detection all run in your browser. For a batch of invoices, contracts or medical paperwork that is the whole point — you can verify it with the method on the proof of privacy page.
The usual follow-ups are merging related documents into one PDF, compressing the large ones for archiving, and checking what the documents still carry in their properties before they go anywhere.
Treat suggested filenames as a draft, not a filing decision
Local classification can make a messy folder easier to review, but business context still belongs to the person organising the records.
Use a stable naming pattern
A practical pattern is date, counterparty, document type and version: 2026-07-11_Acme_SOW_v2.pdf. Put the most useful sorting field first and avoid characters that Windows, macOS or cloud drives treat differently.
Check extracted clues
Scans, letterheads and repeated boilerplate can mislead automated classification. Confirm the document date, parties and version against the actual content before accepting a name. An amendment should not be filed as the agreement it modifies.
Keep a reversible review step
Work on copies until the naming scheme is proven. Duplicate detection can identify identical or highly similar files, but it does not decide which copy has the correct signatures, annotations or retention status.
Organisation guidance reviewed 11 July 2026 · How guidance is maintained
What on-device analysis can tell about a file, and what it cannot
The tool reads content to name and group files. Knowing what it keys on tells you when to trust it and when to check.
Naming comes from the content, not the filename
Text inside the document drives the suggested name, so a folder of scan-0001.pdf files can become something readable. Documents with little extractable text give the analysis less to work with and weaker suggestions.
Classification is a strong hint, not a ruling
Categories such as invoice, contract or resume are inferred from characteristic wording. Unusual templates and multi-purpose documents get misfiled, so review before acting on a large batch — particularly if you are about to rename everything at once.
Exact and near-duplicates are found differently
Exact duplicates are identical files and can be flagged with confidence. Near-duplicates are versions that differ slightly — a re-scan, or a draft against its final — so treat those as candidates for review rather than for deletion.
A file organizer that runs in a tab, and what that trades away
Most results for this search are desktop applications that watch a folder permanently. This is deliberately not that, and the difference is worth being clear about before you spend time on it.
Installed organizers watch; this one is a pass over a batch
File organizer software sits resident, monitors a folder such as Downloads, and applies rules as files arrive. That is genuinely useful and this cannot do it — a web page has no standing access to your disk. What it does instead is a single deliberate pass over a batch you hand it, which is the shape most people actually need: a scanner output folder, a shared drive nobody has tidied since 2019, a decade of receipts.
The rename comes from inside the file
Rule-based organizers sort by extension, date or a pattern in the existing name, so a folder of scan_0423.pdf stays a folder of numbers. Here each document is read and the suggested name comes from its contents — the vendor and date on an invoice, the parties on a contract. That is the part rules cannot do, and the reason to run this before setting up any folder structure.
Duplicates come in two kinds and are reported differently
Exact duplicates are byte-identical files, and those can be flagged with certainty. Near-duplicates are the harder and more common case: the same document rescanned at a different quality, a draft beside its final, a file saved twice with different names. Those are reported as candidates for you to judge rather than acted on, because deleting the wrong one of a draft-and-final pair is not recoverable.
Nothing is uploaded, which is the reason to use a browser for this
A batch worth organizing is usually a batch worth not sending anywhere: invoices, contracts, medical letters, tax paperwork. Every file is read and analysed inside the browser tab, and you get renamed copies back in a ZIP. The originals are untouched — the tool suggests and renames copies, it does not move or delete anything on your disk.