Most of my paper is now scanned - I think I have two boxes left in my garden shed. I don't bother with OCR because search doesn't help me when I don't know what to search for (e.g. invoice for a jumper I bought in 2010 - fashion labels rarely call their jumpers jumper).
And so I rely on meta data. There's not much out there in terms of open-source tagging software, and even less in terms of an open tagging approach. I ended up with tagspaces, which is a web app packaged up as a native app. The approach to tagging is good (tags appended to file name), but the app is abysmally poor. Slow - waiting up to 30 seconds for a pop-up menu to appear. It assumes tag-based searches work in only one way.
The intent is to write some native apps to solve my biggest problems. For now I'm still trying to clear the backlog of un-scanned paper docs (not going to get this done for me, because privacy). I tag important stuff, like employment contracts, mortgage agreements, passports and birth certificates...
Hope to have everything done by the time I cash in my chips. Might make for a useful dataset for someone somewhere some day.
Let's say you want to auto-tag bills and other documents from your ISP. So you add the ISP's name, phone number, website address etc. into the database - any uniquely-identifying keywords that typically appear on the documents that they send. Now any document that contains these keywords will get tagged as "ISP", making it very easy to find in the future.
Even if the OCR quality isn't perfect, at least one of these keywords will most likely get matched.
Another example - you could add the names of your family members as keywords, making it easy to find all documents related to Jenny or Susan.
You could argue that full-text search would achieve the same result, but uploading documents into the system and having them auto-tagged as "ISP", "car-payments", "Walmart", "Susan" and so on feels a little bit like magic, as if the system is actively helping you organize your papers.
The keyword approach is also very easy to understand and tweak, unlike more rigorous but opaque methods of document clustering (such as tf-idf).
Food for thought.
Store them in your IMAP/Mails. Either on an own account or in a dedicated sub-folder.
I wrote some small python scripts [1] which allow you to: - Add an email with the PDF attached to your document collection. The script supports adding a subject and adding tags to it - Go over all the emails and run an OCR (tesseract) on them: Attach the OCR result together with the pdf to the email.
Big advantage: - Search on IMAP is a solved problem - Clients for every operating system in the world, including web, mobile - Super simple backup and restore
Over course, very geeky, nothing for your parents, but maybe something for you?
Although my mail provider is fairly generous about storage space, it's not unlimited.
I just throw everything in a box, if I ever need it again later it'll take a long time to find.. but I rarely need to find a document again.
Complexity of archiving a document is O(1) with a very small constant. Complexity of retrieval is O(N) for a large N.
But I have few retrievals in my system, so why pay a higher per document cost?
Because being organised makes you more effective. With your 'throw it all in a box' system, you have a high barrier to finding documents in the future and this discourages you from doing so. However, with a more organised approach you are more likely to retrieve specific documents.
One example: Some mid-priced electronic device breaks a few months after you buy it. You might weigh digging through all the paperwork versus shrugging your shoulders and throwing it away. I would go straight to the warranty document and also look at my credit card issuer's warranty/returns policies(if any), and I would return the item for a replacement or refund. No biggie, only a few minutes work and I as a consumer prevail in exercising my rights.
Sounds boring but I believe it is definitely worth making the effort.
I agree with the sentiment, but I tend to agree with the previous poster. The value of paper documents tends to be really low in the long run. I think you can keep it maybe for a few years when it comes to bills, but anything longer than that and there's not really a lot of value to go back to what you purchased/did or even where you traveled. I am also fairly organized but I tend to see as kind of futile, since I don't really need to go back and search for stuff that often.
In fifteen years of keeping my mail I maybe had once or twice to go back in time more than a month or two ago.
- if you need more than one box. will you still have a single box 10 years from now or will it be 2? good luck trying to retrieve something in 20 years when you have even more boxes
- it only takes 1 fire or flood to destroy all of your documents. once they are digital you can easily make copies and store them in a few different locations
tbh making digital copies isnt that complicated compared to throwing something in a box. i just scan everything into a year/month folder and do as you do... worry about finding them later. spending time tagging or naming stuff after theyve been digitised is optional.
I've been doing this for years already (albeit using Google Drive - yes, some people dont trust Google - I understand that, but doesn't bother me) and these are some of the common use-cases where I find it really useful:
* Tax returns. This alone makes it worthwhile.
* Call-centers. You'll often have the reference/account number/etc you need quicker than the operator at the other end can look them up.
* Travelling. Pulling up travel insurance etc details from your phone when you're stranded in an airport is so useful.
* The inevitable "we need to see a copy if your birth certificate/driving license/passport/last 3 months of bank statements/bill from a utility to validate your identity" requests. Either email the PDF directly or print out and go - no box rumaging.
* Health Records. Looking up the name of those pills you were prescribed 18 months ago, or when you had vaccinations etc.
* Those moments when you're convinced you've already had your car serviced/paid that bill/renewed the warranty on your washing machine/dealt with something but cant quite remember. Tap-tap yeah there is the confirmation from the appliance manufacturer saying I am still covered by warranty - emailed it to the support people. Ball is now in their court. Job done - whats next on my to-do list?
It comes up surprisingly often. Sure, not every single day, but certainly enough to justify the very very very small time investment of scanning it and uploading the PDFs Google Drive (I am sure there are alternatives that work just as well). When you retrieve something, the time-savings totally make it worthwhile.
As someone else has said elsewhere, often when you need these documents it is a stressful situation - a death, an illness, an accident, something "wrong" going on financially etc. You dont want to waste time frantically digging through dusty boxes of paperwork trying to find something when you can just tap a few keys and get it in seconds with zero hassle.
I highly recommend it.
I "bootstrapped" my archive by heading into the office at the weekend and using the huge printers to scan in boxes full of old paper documents to PDFs. Now I top-up with a home scanner attached to my LAN - if you're looking to buy a scanner for home, make sure you get one with an automatic document feeder that can do both sides at once so you can just chuck the papers in and hit go, then collect the PDFs from your network drive.
Any suggestions for one? I have a Canon P-208, but it's close to useless for batch scanning.
So I have 4 'bins' to categorize physical papers - scan & keep, scan & shred, shred, throw.
This system usually eliminates a lot of papers that I would otherwise mindlessly/OCD'ly scan.
What I am after is a system like expensive solutions have in some companies where the mailbox department prints (or has preprinted) labels with unique bar codes, for any incoming mail, they open it, stick a label on it, scan it with the label on it and then physically deliver it. Some departments also input recipient and sender details, add tags etc. So in the end they have a searchable database by persons involved, content type, tags and also all documents (physical and digital) have a referenceable id that can be used for various purposes.
An example is this screenshot from my notes https://imgur.com/a/xuZqW
I switched to using Notes in Fastmail.
Exporting to PDF sounds like a really good idea.
There is at least one country (mine - Switzerland) which is not able to use software like yours. The problems are the current laws that force people and organizations to store physical copies of the documents (for several years). Electronic documents have no value in front of the law, which is why we have no choice but to do all of that offline, manually.
I've tried many archiving solutions, but non of them saved any bit of time. The one single, missing feature was an automatism to print a serial code (the electronic document ID) back on the original document. This way you could just scan it, print it, put it in a large box where you sort it by its ID - that simple. And this would even work if you would use spacers to split the documents on the scanning process.
Shoe Box + QR, you fill linearly and always snap the QR with the scan. It than can tell you at roughly which height in the stack and in which shoe box something is.
edit: here: https://box.fileee.com/
If someone really need me to retrieve an old document. It'll take forever to find, but why would I want to pay sorting costs upfront?
My main gripe is that I have a document feeder and manually selecting pages with shift to combine in to a single document and clicking "Save as" is far too much of a hassle. There needs to be a better flow for that.
It was initially to use with insaned, but I later came up with a script to tie it all together (scan.sh) because it's faster than jamming the scan button waiting for insaned to register. And with the script, I can queue commands provided I'm fast enough to swap the physical pages in the flatbed scanner.
It also uses the excellent textcleaner imagemagick script to clean up the scans and make them more ocr friendly.
The readme isn't totally up to date, parallel isn't required anymore, and there is no mention of the scan.sh script. But when you run it, it prompts for commands. You might need to edit the scripts to set your own output directories and textcleaner location.
Edit: tried it, it's crap.
I have not tired yet how it reacts to huge amounts of data. But best thing: NOT written in Java!
Then your documents are a grep away. Maybe awk to find documents from a date range?
Maybe someone clever could automate this with the OCR output...
Roberto Rosario (the creator of Mayan) is a very well known name in the Django, Python, document management, maker, hacking, open health and open source in the goverment circles.
- https://speakerdeck.com/siloraptor - https://en.wikipedia.org/wiki/Roberto_Rosario - https://www.pycon.it/conference/p/roberto-rosario - http://pyvideo.org/djangocon-us-2014/liberation-and-moderniz... - https://cpucadviceletters.org/login/?next=/ - https://twit.tv/shows/floss-weekly/episodes/253 - https://en.wikipedia.org/wiki/Mayan_(software) - https://www.youtube.com/watch?v=rubzEAojf-k
Mayan EDMS was initially released in February 3, 2011 (Wikipedia and git log). In June 2015, Roberto gave a workshop in DjangoCon named From zero to paperless with Mayan EDMS (https://archive.is/FDpYS). Daniel Quinn (the creator of Paperless) also attended and presented at the same DjangoCon event (https://vimeo.com/135907408) and 6 months later after working on it for several months (Daniel's own words), he released Paperless on December 20, 2015 (https://github.com/danielquinn/paperless/commits/master?afte...). By January 24, 2016, Paperless had "exploded in popularity" (https://twitter.com/danielagquinn/status/691242822431830016).
Both projects used Python, Django, same Django 3rd party apps like DjangoSuit, same document consumer model, same OCR engine, REST API, among other things. On the surface it appeared that Paperless was a copy of Mayan EDMS concepts and implementations without giving credit or mention. Many additions were planned for Paperless that were features and implementations already in Mayan (https://www.reddit.com/r/selfhosted/comments/44mh88/scan_ind...).
A separate point of contention was that the name "Paperless" had been in use by other projects much earlier that Daniel's Paperless (https://github.com/search?utf8=%E2%9C%93&q=paperless&type=). Since there is no trademark on the name or description, other projects appeared with the same name and description (https://github.com/lrnt/paperless).
On March 15, 2016, Daniel presented Paperless at CodeNode (https://skillsmatter.com/skillscasts/7843-intro-to-paperless).
It was Daniel's February 27, 2016 tweet suggesting to be paid to work on Paperless that sparked the animosity between the users of the two projects (https://twitter.com/danielagquinn/status/703629488932970500).
Many heated debates ensued. Even then, the main critique of Paperless remained technical, but lack of maturity and implemenation was described by one Reddit users as: "I've looked into paperless and it currently lacks a lot of...nearly well everything. Maybe in a year or two" (https://www.reddit.com/r/linux/comments/6m9evn/want_to_go_pa...)
On April 9, 2016, Daniel added a reference to Mayan to the documentation of Paperless (https://github.com/danielquinn/paperless/commit/674d54ec3878...).
On April 17, 2016, Daniel posted on his old twitter account: "It looks like my idea for Paperless wasn't all that unique. This other project uses a lot of the same tools: http://www.mayan-edms.com" (https://twitter.com/danielagquinn/status/721726208606646272).
On April 14, 2017, Daniel Quinn posted in his blog a summary of his experiences at DjangoCon Europe 2017 where he mentions meeting Roberto in person. He describes Roberto as a "rival geek" in what appears to be jest and uses positive adjectives to describe Roberto in the rest of the post. (https://danielquinn.org/blog/djangocon-2017/)
On April 16, 2017 Daniel posted a tweet mentioning the popularity Paperless (https://twitter.com/danielagquinn/status/853701257051205632).
The last release of Paperless is made on Sep 9, 2017.
On Oct 18, 2017 Daniel posted: "I changed my Twitter name! This isn't me any more, so if you're looking for me, you should keep head over to @danielagquinn." (https://twitter.com/searchingfortao/status/92077862371561062...). Only 7 commits have been made to Paperless since with the last commit happening on Novermber 5, 2017.
On December 18, 2017 a user named "zhoubear" anounced on Reddit's selfhoted "Open Paperless: Scan, index, and archive all of your paper documents" (https://www.reddit.com/r/selfhosted/comments/7kjocg/scan_ind...). It turned out that Open Paperless was a forked Mayan EDMS with cosmetic changes but with copyrights changed and no attribution to Mayan EDMS. After a much heated debate, copyrights and attributions were restored and the project's description has been updated to show that it is a new front end for Mayan among other usability changes meant for home users.
In 4 days, Open Paperless has surpassed Mayan EDMS in popularity on Github.
No posts or comments from Roberto can be found in reference of Paperless or Open Paperless.
https://twitter.com/search?q=paperless%20from%3Asearchingfor...
IIRC, it wasn't ~vaporware~ researchware, but nor was it "clone this repo, away you go"
It also doesn't tie you to a specific ecosystem.
Disclaimer: I'm on of the authors of Genius Scan :)
Most documents I do want to keep record of are sensitive. I don't trust a closed-source app with that kind of information.
To unwarp photos that were taken at odd angles you need to do some image processing. The mathematics aren't particularly difficult, it's a homography transform in most cases (rectangles). The problem is robustly detecting the page.
Dropbox has some nice write-ups on this: https://blogs.dropbox.com/tech/2016/08/fast-document-rectifi...
Is there a service anyone knows about which will print your email and send it with tracking of receipt or signature, so you can prove what was physically sent?
Or you mail it to them and they open your mail, scan it and forward it on with signature required, with your address as the return address?
Because righy now you can only prove that the ENVELOPE was received, not what was in it.
later on, the payment stopped and the employer claimed that they fired him at that time.
I don't recall how that case ultimately turned out, but maybe something like that? would be incredibly rare though and of dubious worth for mostly anyone