The OCR Software Blog

OCR.space Local is powerful server-based OCR software for automated document capture and PDF conversion. Designed for low to high-volume batch processing, it enables organizations and scanning service providers to convert paper scans, PNG, TIFF, JPEG, and PDF image documents into electronic files suitable for full-text search and long-term digital archiving.

Technically the local OCR.space Server is identical to our popular online OCR API service. The on-premise installation has the same features, same API parameters and especially the same OCR quality as the OCR.space PRO PDF plan, but runs 100% local (offline) and never contacts the Internet. It can also create searchable PDFs.

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We worked for months on it, and now it is available: Make searchable PDFs from scans and images for free with our Online OCR form and the OCR API.

This works with PDFs with images inside (such as the ones you get from scanning documents) but also works with images (jpeg/png/gif). The image is converted to a searchable PDF that you can download.

Try it here and select the “Create visible text layer” option. This way you can easily see the text layer that gets added during the conversion.

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Our latest Online OCR and OCR API update fixes the “left to right bug” with Arabic OCR that many users reported. Now the API returns the text in the correct order (right to left), and the online OCR forms display the arabic text right-aligned.

Thank you for your patience while we worked on this issue.

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Today’s Online OCR and tomorrows upcoming OCR API update adds four new languages to our service, and improves the recognition for all other languages:

New languages:

• Arabic OCR (“ara”)
• Bulgarian OCR (“bul”)
• Croatian OCR (“hrv”)
• Slovenian OCR (“slv”)

All languages: Improved character recognition

Release dates:

• Online OCR - Today (released)
• OCR API - April 25, 2017 (tomorrow)

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The German Public TV station “Norddeutscher Rundfunk” reports that they were offered data that includes the surfing habits of three million German citizens.  It seems this data was, at least partly, collected by the “Web of trust” (WOT) browser extensions.  This is as bad as it sounds. The TV station was able to use this data to identify the browsing habits of individual persons – including high-ranking German and EU politicians.

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