Step 3: Conversion — Capture Conversion is the software turning the analog document into digital format or ingesting a born digital document so that it can be placed into a workflow. Documents can be captured via: Fax — Image quality is usually lower here, which could lower recognition accuracy. Camera phone — You have a scanner in your pocket with your phone camera and easily downloadable software.
Scanner — Various speeds and models available depending on daily scanning volume and business need. From desktop speeds of 10 pages per minute to pages per minute and higher. Checks and microfilm — There are specialized scanners for both types of documents. Step 6: Image Cleanup When documents are old or of poor quality, the quality of the documents can be improved with software or hardware image cleanup functionality. Common features include: Deskew — straightens images scanned in crooked Despeckle - removes dots from the document Rotate — turns documents fed in incorrectly to the right orientation Blank and double-page detection — blank pages can be deleted and a double-feed alert allows you to rescan the document Step 7: Quality Control No software or data entry is perfect.
Step 8: Recognition Recognition software is the heart of capture. OCR optical character recognition — Recognizes machine-printed characters. Zonal — Used where only specific fields on a form are required. Full-text — Free form document conversion allowing search on all words in the document. ICR intelligent character recognition — For hand-printed characters.
OMR optical mark recognition — Recognizes check boxes, filled-in bubbles, etc. Barcodes — Read and extract information from a pre-printed barcode. Step 9: Index If you don't index your documents, you'll never find them again!
Key from index fields document type, date, customer name, etc. Auto-indexing with barcodes — By storing form information on a barcode before scanning a batch of documents, certain index values can be automatically populated. Learn more. Skip to content. Here are 63 public repositories matching this topic Language: All Filter by language. Sort options. Star Updated Dec 20, Python. Sponsor Star Updated Jul 31, Makefile.
Updated Sep 21, Java. Updated Dec 23, Java. Updated May 16, Java. An open-source document scanner! Updated Dec 2, Dart. Updated May 5, Kotlin. With this outline at hand, we will now explore how to create the plan, section by section. By articulating all the reasons for undertaking the project, it becomes easier to secure funding and to obtain participation and support from colleagues and end users.
Keeping in mind the various reasons you are scanning, you should crystallize your objectives in a statement along the following lines:.
By also imaging our existing records collection, we will reduce our storage footprint, freeing up significant space to be redeployed for other activities. In the course of planning the project, you will need to take a thorough assessment of the current situation, which includes the business context and drivers, the documents to be scanned, and the business processes that the documents are supporting.
The findings in this section will have a direct influence on the design of the scanning project. By including your findings here, you help key stakeholders see the rationale behind the approach you are taking. You will want to consider the situation from the standpoint of the business itself, including key drivers, departments involved, current processes, information flows and compliance requirements.
You should also include a summary of the documents to be scanned. How many collections, files and documents are involved? How are they organized? One of the most basic ways of indexing your scanned documents is by naming each electronic file by the tab of the folder from which it came. We call this folder-level indexing. Sometimes it will be necessary to index each individual document depending on how you plan to use the digital files. If you want to improve search capabilities, we offer optical character recognition OCR services too.
On average, each scanned image will cost approximately cents, but prices vary and largely depend on the volume of documents and level of effort to prep them for scanning. ILM Corporation offers a suite of document management services in Washington, DC, Virginia, and Maryland to help customers transform difficult and unstructured materials that are time-sensitive and mission-critical into digital data. ILM specializes in data capture, data entry, digital imaging, document scanning and much more.
With over 40 years of experience in creating custom data processing services, ILM offers document conversion services for organizations of all sizes.
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