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Downloading the cmd.exe from ReactOS and running that in Wine. You can take the .exe yourself from a ReactOS system at C:\ReactOS\system32\cmd.exe or download the one I have prepared below.Download ReactOS's cmd.exeI recommend you put this at the root of your Wine prefix for easy access.For example, /home//Games/VNs/cmd.exeThis guide will assume the cmd.exe is placed at the root of your Wine prefix.Now, we need to edit a .bat script. nulecho "Launching VN...":: Edit the following lines to match your file paths. The Z:\ drive is mounted as your Linux filesystem.cd /d "Z:/path/to/vn/folder/"start .exeecho Launching Textractor...:: This will work as is without editing if you installed Textractor to the prefix. :: Use x86 for 32-bit executables and x64 for 64-bit executables.cd /d "C:\users\steamuser\Desktop\Textractor\x86"start Textractor.exeexit">@echo off:: Without this, Japanese file paths don't work correctly.echo "Setting UTF-8..."chcp 65001 > nulecho "Launching VN...":: Edit the following lines to match your file paths. The Z:\ drive is mounted as your Linux filesystem.cd /d "Z:/path/to/vn/folder/"start VN EXECUTABLE NAME>.exeecho Launching Textractor...:: This will work as is without editing if you installed Textractor to the prefix. :: Use x86 for 32-bit executables and x64 for 64-bit executables.cd /d "C:\users\steamuser\Desktop\Textractor\x86"start Textractor.exeexitYou need to edit the lines under "Launching VN..." to match your file paths. After that, you can save this as a .bat file in any directory and as any name you wish.I suggest making a folder called scripts or something in your Wine prefix.!!! info "Unsure what architecture your VN is?"Use the Linux command file on the executable to find out if it is 32-bit or 64-bit.Example: file VN.exeIf the output is:VN.exe: PE32 executable (GUI) Intel 80386, for MS WindowsThen it is 32-bit.If the output is:VN.exe: PE32+ executable (GUI) x86-64, for MS WindowsThen it is 64-bit.In Lutris, go on "Game Options" for the VN, change the executable to

TextractorEnglish ● Español ● 简体中文 ● Русский ● 한국어 ● ภาษาไทย ● Français ● Italiano ● 日本語 ● Bahasa Indonesia ● Português ● DeutschTextractor (a.k.a. NextHooker) is an open-source x86/x64 video game text hooker for Windows 7+ (and Wine) based off of ITHVNR.Watch the tutorial video for a quick rundown on using it.DownloadOfficial stable releases of Textractor can be found here.The last release of ITHVNR can be found here.Experimental builds of Textractor (with debug info) from the latest source can be found here in the 'Artifacts' section of each job.FeaturesHighly extensible and customizableAuto hook many game engines (including some not supported by VNR!)Hook text using /H "hook" codes (most AGTH codes supported)Automatically search for possible hook codesSupportLet me know of any bugs, games that Textractor has trouble hooking, feature requests, or other suggestions by posting an issue.If you have trouble hooking a game, please show me a way to freely download it or gift it to me on Steam.ExtensionsSee my Example Extension project to see how to build an extension.See the extensions folder for examples of what extensions can do.ContributingAll contributions are appreciated! Please email me at [email protected] if you have any questions about the codebase.You should use the standard process of making a pull request (fork, branch, commit changes, make PR from your branch to my master).Contributing a translation is easy: text.cpp contains all of the text strings that you need to translate. Translations of this README or the tutorial video transcript are also welcome.CompilingBefore compiling Textractor, you need Qt version 5.13 and Visual Studio with CMake support.Clone Textractor's source and initialize submodules with git clone and git submodule update --init.You should then be able to just open the source folder in Visual Studio and build.Project ArchitectureThe host injects texthook into the target process and connects to it via 2 pipe files.texthook waits for the pipe to be connected, then injects a few instructions into any text outputting functions (e.g. TextOut, GetGlyphOutline) that cause their input to be sent through the pipe.Additional information about hooks is exchanged via shared memory.The text that the host receives through the pipe is then processed a little before being dispatched back to the GUI.Finally, the GUI dispatches the text to extensions before displaying it.Developers

`+` icon in the top left corner, and choose `Add locally installed game`Set the runner to Wine. The runner settings should automatically be correct if you followed the previous steps. Now set the path to the game executable, and set the Wine prefix. This Wine prefix has to be a blank one if using Proton-GE on a prefix for the first time. After you run one VN in that prefix using that Proton-GE version, you can share the prefix for other VNs too. After that you are ready to play your VN on Linux!TextractorThis is where things can get a little finnicky. There is no good way to launch 2 .exe's at the same time and have the two processes know of each other using Proton because of the way Proton is designed to only launch 1 program at a time in a single prefix. There are ways to get around this, and by far the best way I have found involves using a batch script with a custom Command Prompt.Download TextractorDownload Textractor at its GitHub RepositoryInstall TextractorI used the "Run EXE inside Wine prefix" option in Lutris to install Textractor to the prefix. For some reason, trying to install it like a new game just doesn't work for me.I used the "Install for all users" option when installing.Set Up Textractor to launch with VNThis is a little complicated due to the nature of Proton, but you can get it working with a custom cmd.exe and a .bat file. You will need to use a .bat script for each VN you add to Lutris.The cmd.exe in Wine does not function in the exact same way the Windows one does, however, the cmd.exe from ReactOS, in fact, does. So we will be

The ReactOS cmd.exe you downloaded, add the argument to start your .bat file in Arguments:/k /path/to/startup_script.batI recommend creating a folder called scripts/ or something in the root of your Wine prefix for easy access.You will need to create a startup script for every VN you add, but this isn't complicated as it just involves editing file paths.With this setup, the VN and Textractor should launch together.Proceed to Learning Japanese with VNs for more information on how to use Textractor.AlphaROMdiEAlphaROMdiE is sort of an all-purpose NoDVD patch mainly for KEY visual novels. You can try using it when you can't find a NoDVD patch specifically for your visual novel. To use it, set the executable path to the AlphaROMdiE exe to set the options. After that, close it, and then edit the executable path to run AlphaROMdiE but with the VN's executable as an argument. For example: /path/to/vn/AlphaROMdiE.exe .Alternatively you can configure AlphaROMdiE without running it on its own.For the 1st option, you must create an empty file disable_conv in the same location as AlphaROMdiE.exe, for the 3rd option, you must create an empty file other_engine in the same location as AlphaROMdiE.exe. You can do this easily by doing:bash touch disable_conv other_engine TroubleshootingNitroplus Games Very Slow / other VN is very slowNitroplus VNs, such as Soukou Akki Muramasa, Phenomeno, Totono, Saya no Uta (untested) etc. may run very slowly when you run them with Proton.You can run these games just fine using standard Wine. I tested these games with System (9.12) in Lutris on a new prefix. They ran fine, but the fonts weren't right. You can fix that by downloading and copying these fonts into your Wine prefix's fonts folder (drive_c/windows/Fonts).Windows Japanese Fonts.zip - Google DriveAlternatively, you can continue to use Proton to run them, but usually, you have to

This project has moved under AWS Samples.TextractorYou can use textractor to extract text, forms and tables from documents using Amazon Textract and generate output in different formats including raw JSON, JSON for each page in the document, text, text in reading order, key/values exported as CSV, tables exported as CSV. It can also generate insights or translate detected text by using Amazon Comprehend, Amazon Comprehend Medical and Amazon Translate.PrerequisitesPython3AWS CLISetupDownload code and unzip on your local machine.UsageFormat:python3 textractor.py --documents [file|folder|S3Object|S3Folder] --text --forms --tables --region [AWSRegion] --insights --medical-insights --translate [LanguageCode]Examples:python3 textractor.py --documents mydoc.jpg --textpython3 textractor.py --documents ./mydocs/ --text --forms --tablespython3 textractor.py --documents s3://mybucket/mydoc.pdf --text --forms --tablespython3 textractor.py --documents s3://mybucket/myfolder/ --formspython3 textractor.py --documents s3://mybucket/myfolder/ --text --forms --tables --region us-east-1 --insights --medical-insights --translate esPath to a folder on local drive or S3 bucket must end with /Only one of the flags (--text, --forms and --tables) is required at the minimum. You can use combination of all three.--region is optional. us-east-1 is default for local files/folder. For documents in S3, region of S3 bucket is selected as default AWS region to call Amazon Textract.--insights, --medical-insights and --translate are optional.Generated OutputTool generates several files in the format below:Text, forms and tables related output filesdocument-response.json: Raw JSON response of Amazon Textract API call.document-page-n-response.json: Raw JSON blocks for each page document.document-page-n-text.txt: Detected text for each page in the document.document-page-n-text-inreadingorder.txt: Detected text in reading order (multi-column) for each page in the document.document-page-n-forms.csv: Key/Value pairs for each page in the document.document-page-n-tables.csv: Tables detected for each page in the document.Insights related output filesdocument-page-n-insights-entities.csv: Entities in detected text for each page in the document.document-page-n-insights-sentiment.csv: Sentiment in detected text for each page in the document.document-page-n-insights-keyPhrases.csv: Key phrases in detected text for each page in the document.document-page-n-insights-syntax.csv: Syntax in detected text for each page in the document.document-page-n-medical-insights-entities.csv: Medical entities in detected text for