Best AI tools for< Post-process Code >

hirex.ai is an AI-powered platform that revolutionizes the job interview process by making it open, fair, and accessible to all. The platform utilizes GenAI assistant to help candidates get interviewed instantly, jump the line to secure their dream job, and undergo a faster screening process. With no credit card required, users can register for free early access, upload their resumes, and post job offers. The platform aims to transform HR and talent acquisition by providing innovative solutions for both job seekers and employers.

**Nubrain.ai** is a comprehensive AI toolkit that offers a wide range of features to streamline content creation and enhance productivity. With its user-friendly interface and powerful AI capabilities, Nubrain.ai empowers users to generate unique and engaging content, create stunning visuals, transcribe speech, synthesize voiceovers, and write code effortlessly. The platform's advanced features, such as custom template creation, multilingual support, and seamless payment options, make it an ideal solution for individuals, teams, and businesses seeking to optimize their content creation process.

Peech is a powerful platform designed for scale that allows users to automatically obtain a limitless supply of branded videos from their content with a one-click, fully AI-powered post-production process. It offers various features such as content analysis, transcription and translation, automated custom branding, text-to-video editor, frame cropper, and clip generator. Peech empowers media companies with a tailored solution to conveniently organize and categorize large volumes of video footage, maintain brand consistency, reach global audiences, effortlessly edit videos, and automatically adjust videos to various aspect ratios for optimized design across platforms.

AutoRetouch by Meero is an AI-powered image editing solution designed to streamline the post-production process for fashion photography. It utilizes advanced AI algorithms to automate tedious tasks, allowing users to enhance their visuals with unparalleled efficiency. With a focus on meeting brand requirements, AutoRetouch offers a comprehensive suite of tools and features to optimize image quality and consistency.

Postli is a powerful AI-driven tool designed to help users create engaging and high-quality posts for LinkedIn. With thousands of templates and advanced features, Postli simplifies the post creation process, enabling users to go viral on the platform. From generating posts using styles from top LinkedIn creators to enhancing and customizing posts, Postli offers a comprehensive solution for individuals and businesses looking to boost their presence on LinkedIn. In addition to post creation, Postli also provides various other LinkedIn tools and resources to support users in their content planning and growth strategies.

SolidGrids is an AI-powered image enhancement tool designed specifically for e-commerce businesses. It automates the image post-production process, saving time and resources. With SolidGrids, you can easily remove backgrounds, enhance product images, and create consistent branding across your e-commerce site. The platform offers seamless cloud integrations and is cost-effective compared to traditional methods.

Recooty is a modern applicant tracking system designed for growing companies to streamline their recruiting process. It offers features such as applicant tracking, job posting, candidate tracking, interview scheduling, talent pool management, employer branding, and HR tools. With Recooty, companies can attract, engage, and hire their next teammates with ease. The platform also provides resources like job descriptions, templates, interview questions, and AI tools to enhance the recruitment experience.

HireBeat is an AI-powered Applicant Tracking System designed for small businesses and startups to streamline their hiring process. It offers a clutter-free hiring platform that allows users to post jobs, source talent, screen resumes, conduct video interviews, and collaborate with team members efficiently. With optimized hiring pipelines and AI resume screening capabilities, HireBeat helps businesses attract top talent and make faster hiring decisions.

SILX AI is a revolutionary hiring platform that leverages artificial intelligence to streamline the recruitment process. It aims to eliminate unqualified candidates and overqualified employers, making hiring fast, efficient, and cost-effective. With SILX AI, businesses can post job openings, screen candidates, and make informed hiring decisions with ease.

Writer.md is an AI-powered tool designed to help users create SEO-optimized blog post drafts effortlessly. By leveraging artificial intelligence technology, the platform assists in generating high-quality content by suggesting relevant keywords and structuring the content for better search engine visibility. Users can easily create drafts in multiple languages, including English, German, Dutch, Spanish, and Italian. The tool aims to streamline the content creation process and enhance the overall quality of blog posts.

MTestHub is an all-in-one recruiting and assessment automation solution that streamlines the hiring process for organizations. It harnesses AI technology to identify top talent, provides an authentic online examination platform, and offers features such as auto screening, shortlisting, efficient interviews, and post-shortlisting actions. The platform aims to enhance recruitment efficiency, improve candidate experience, and reduce administrative burdens through automation and data-driven insights.

Keytalk AI is a company that specializes in prompt engineering, which is the process of creating prompts that can be used to generate text, images, and other types of content using artificial intelligence (AI) models. Keytalk AI's mission is to make AI more accessible and user-friendly by providing tools and resources that make it easy for people to create and use AI-generated content. The company's flagship product is Keytalk Prompts, a library of pre-written prompts that can be used to generate content on a variety of topics. Keytalk AI also offers a range of other services, including consulting, training, and support.

Auphonic is an AI-powered audio post-production web tool designed to help users achieve professional-quality audio results effortlessly. It offers a range of features such as Intelligent Leveler, Noise & Reverb Reduction, Filtering & AutoEQ, Cut Filler Words and Silence, Multitrack Algorithms, Loudness Specifications, Speech2Text & Automatic Shownotes, Video Support, Metadata & Chapters, and more. Auphonic is widely used by podcasters, educators, content creators, and audiobook producers to enhance their audio content and streamline their workflows. With its intuitive interface and advanced algorithms, Auphonic simplifies the audio editing process and ensures consistent audio quality across different platforms.

Stockimg AI is an all-in-one design and content creation tool powered by AI. It allows users to generate logos, illustrations, wallpapers, posters, and more. The tool enables end-to-end social media management, content generation, scheduling, and customization. With integrations for over 10 social media platforms, users can automate their posts and create stunning designs in minutes. Stockimg AI aims to streamline content creation processes and help businesses and individuals manage their social media presence efficiently.

Creaitor is an AI-driven content and SEO enhancement platform that offers a comprehensive suite of AI tools and integrated SEO features to streamline content creation and optimize online presence. It empowers content producers to create better, faster, and more SEO-optimized content, leading to increased clicks, conversions, and sales.

SkyScribe is an AI-powered tool designed to help users schedule posts on BlueSky, a social media platform, and optimize their content strategy for audience growth and revenue generation. It offers features such as smart scheduling, audience analytics, engagement rate tracking, and monetization tools. Users can easily connect their BlueSky account, schedule posts in advance, and leverage AI-powered content suggestions for maximum impact. SkyScribe aims to streamline the content creation process and empower users to grow their online presence effectively.

Ulai is a Gen-AI conversational commerce platform that helps businesses connect with their customers, acquire, retain, and engage them where they are most comfortable. It offers a range of features to help businesses increase revenue, including personalized recommendations, automated post-purchase processes, and seamless integration with third-party applications and CRMs.

DigitalGenius is an AI-powered customer service platform designed specifically for e-commerce businesses. It offers a range of features to help businesses automate customer interactions, resolve issues quickly and efficiently, and improve the overall customer experience. DigitalGenius seamlessly integrates with existing e-commerce platforms and shipping carriers, allowing businesses to manage customer inquiries and orders from a single platform. The platform's AI capabilities enable it to understand customer intent, generate personalized responses, and provide proactive support. DigitalGenius is trusted by leading brands such as On, Air up, and Waterdrop, and has helped them improve customer satisfaction, reduce costs, and scale their operations.

Enwrite is an AI-powered writing tool that helps you create high-quality content quickly and easily. With Enwrite, you can generate articles, blog posts, social media posts, and more, in just a few clicks. Enwrite's AI engine is trained on a massive dataset of text, so it can generate content that is both informative and engaging.

OwchBuddy is an AI-powered personal injury assistant designed to provide immediate assistance, connect users with top lawyers, and offer tailored advice for injury recovery. The platform offers consultations, resources, and legal insights in one app, ensuring users are never alone post-accident. With multilingual support and round-the-clock assistance, OwchBuddy aims to guide individuals through the legal and medical complexities of personal injuries, offering efficient and personalized solutions for a smooth recovery journey.

EvalPlus is a rigorous evaluation framework for LLM4Code, providing HumanEval+ and MBPP+ tests to evaluate large language models on code generation tasks. It offers precise evaluation and ranking, coding rigorousness analysis, and pre-generated code samples. Users can use EvalPlus to generate code solutions, post-process code, and evaluate code quality. The tool includes tools for code generation and test input generation using various backends.

**deep** doctection is a Python library that orchestrates document extraction and document layout analysis tasks using deep learning models. It does not implement models but enables you to build pipelines using highly acknowledged libraries for object detection, OCR and selected NLP tasks and provides an integrated framework for fine-tuning, evaluating and running models. For more specific text processing tasks use one of the many other great NLP libraries. **deep** doctection focuses on applications and is made for those who want to solve real world problems related to document extraction from PDFs or scans in various image formats. **deep** doctection provides model wrappers of supported libraries for various tasks to be integrated into pipelines. Its core function does not depend on any specific deep learning library. Selected models for the following tasks are currently supported: * Document layout analysis including table recognition in Tensorflow with **Tensorpack**, or PyTorch with **Detectron2**, * OCR with support of **Tesseract**, **DocTr** (Tensorflow and PyTorch implementations available) and a wrapper to an API for a commercial solution, * Text mining for native PDFs with **pdfplumber**, * Language detection with **fastText**, * Deskewing and rotating images with **jdeskew**. * Document and token classification with all LayoutLM models provided by the **Transformer library**. (Yes, you can use any LayoutLM-model with any of the provided OCR-or pdfplumber tools straight away!). * Table detection and table structure recognition with **table-transformer**. * There is a small dataset for token classification available and a lot of new tutorials to show, how to train and evaluate this dataset using LayoutLMv1, LayoutLMv2, LayoutXLM and LayoutLMv3. * Comprehensive configuration of **analyzer** like choosing different models, output parsing, OCR selection. Check this notebook or the docs for more infos. * Document layout analysis and table recognition now runs with **Torchscript** (CPU) as well and **Detectron2** is not required anymore for basic inference. * [**new**] More angle predictors for determining the rotation of a document based on **Tesseract** and **DocTr** (not contained in the built-in Analyzer). * [**new**] Token classification with **LiLT** via **transformers**. We have added a model wrapper for token classification with LiLT and added a some LiLT models to the model catalog that seem to look promising, especially if you want to train a model on non-english data. The training script for LayoutLM can be used for LiLT as well and we will be providing a notebook on how to train a model on a custom dataset soon. **deep** doctection provides on top of that methods for pre-processing inputs to models like cropping or resizing and to post-process results, like validating duplicate outputs, relating words to detected layout segments or ordering words into contiguous text. You will get an output in JSON format that you can customize even further by yourself. Have a look at the **introduction notebook** in the notebook repo for an easy start. Check the **release notes** for recent updates. **deep** doctection or its support libraries provide pre-trained models that are in most of the cases available at the **Hugging Face Model Hub** or that will be automatically downloaded once requested. For instance, you can find pre-trained object detection models from the Tensorpack or Detectron2 framework for coarse layout analysis, table cell detection and table recognition. Training is a substantial part to get pipelines ready on some specific domain, let it be document layout analysis, document classification or NER. **deep** doctection provides training scripts for models that are based on trainers developed from the library that hosts the model code. Moreover, **deep** doctection hosts code to some well established datasets like **Publaynet** that makes it easy to experiment. It also contains mappings from widely used data formats like COCO and it has a dataset framework (akin to **datasets** so that setting up training on a custom dataset becomes very easy. **This notebook** shows you how to do this. **deep** doctection comes equipped with a framework that allows you to evaluate predictions of a single or multiple models in a pipeline against some ground truth. Check again **here** how it is done. Having set up a pipeline it takes you a few lines of code to instantiate the pipeline and after a for loop all pages will be processed through the pipeline.

MediaPipe-rs is a Rust library designed for MediaPipe tasks on WasmEdge WASI-NN. It offers easy-to-use low-code APIs similar to mediapipe-python, with low overhead and flexibility for custom media input. The library supports various tasks like object detection, image classification, gesture recognition, and more, including TfLite models, TF Hub models, and custom models. Users can create task instances, run sessions for pre-processing, inference, and post-processing, and speed up processing by reusing sessions. The library also provides support for audio tasks using audio data from symphonia, ffmpeg, or raw audio. Users can choose between CPU, GPU, or TPU devices for processing.

The Eureka ML Insights Framework is a repository containing code designed to help researchers and practitioners run reproducible evaluations of generative models efficiently. Users can define custom pipelines for data processing, inference, and evaluation, as well as utilize pre-defined evaluation pipelines for key benchmarks. The framework provides a structured approach to conducting experiments and analyzing model performance across various tasks and modalities.

ML-Bench is a tool designed to evaluate large language models and agents for machine learning tasks on repository-level code. It provides functionalities for data preparation, environment setup, usage, API calling, open source model fine-tuning, and inference. Users can clone the repository, load datasets, run ML-LLM-Bench, prepare data, fine-tune models, and perform inference tasks. The tool aims to facilitate the evaluation of language models and agents in the context of machine learning tasks on code repositories.

LayerSkip is an implementation enabling early exit inference and self-speculative decoding. It provides a code base for running models trained using the LayerSkip recipe, offering speedup through self-speculative decoding. The tool integrates with Hugging Face transformers and provides checkpoints for various LLMs. Users can generate tokens, benchmark on datasets, evaluate tasks, and sweep over hyperparameters to optimize inference speed. The tool also includes correctness verification scripts and Docker setup instructions. Additionally, other implementations like gpt-fast and Native HuggingFace are available. Training implementation is a work-in-progress, and contributions are welcome under the CC BY-NC license.

Data-Juicer is a one-stop data processing system to make data higher-quality, juicier, and more digestible for LLMs. It is a systematic & reusable library of 80+ core OPs, 20+ reusable config recipes, and 20+ feature-rich dedicated toolkits, designed to function independently of specific LLM datasets and processing pipelines. Data-Juicer allows detailed data analyses with an automated report generation feature for a deeper understanding of your dataset. Coupled with multi-dimension automatic evaluation capabilities, it supports a timely feedback loop at multiple stages in the LLM development process. Data-Juicer offers tens of pre-built data processing recipes for pre-training, fine-tuning, en, zh, and more scenarios. It provides a speedy data processing pipeline requiring less memory and CPU usage, optimized for maximum productivity. Data-Juicer is flexible & extensible, accommodating most types of data formats and allowing flexible combinations of OPs. It is designed for simplicity, with comprehensive documentation, easy start guides and demo configs, and intuitive configuration with simple adding/removing OPs from existing configs.

nano-GraphRAG is a simple, easy-to-hack implementation of GraphRAG that provides a smaller, faster, and cleaner version of the official implementation. It is about 800 lines of code, small yet scalable, asynchronous, and fully typed. The tool supports incremental insert, async methods, and various parameters for customization. Users can replace storage components and LLM functions as needed. It also allows for embedding function replacement and comes with pre-defined prompts for entity extraction and community reports. However, some features like covariates and global search implementation differ from the original GraphRAG. Future versions aim to address issues related to data source ID, community description truncation, and add new components.

DLIO is an I/O benchmark tool designed for Deep Learning applications. It emulates modern deep learning applications using Benchmark Runner, Data Generator, Format Handler, and I/O Profiler modules. Users can configure various I/O patterns, data loaders, data formats, datasets, and parameters. The tool is aimed at emulating the I/O behavior of deep learning applications and provides a modular design for flexibility and customization.

Pax is a framework to configure and run machine learning experiments on top of Jax.

Hailo TAPPAS is a set of full application examples that implement pipeline elements and pre-trained AI tasks. It demonstrates Hailo's system integration scenarios on predefined systems, aiming to accelerate time to market, simplify integration with Hailo's runtime SW stack, and provide a starting point for customers to fine-tune their applications. The tool supports both Hailo-15 and Hailo-8, offering various example applications optimized for different common hosts. TAPPAS includes pipelines for single network, two network, and multi-stream processing, as well as high-resolution processing via tiling. It also provides example use case pipelines like License Plate Recognition and Multi-Person Multi-Camera Tracking. The tool is regularly updated with new features, bug fixes, and platform support.

An open-source AI assistant for taking meeting notes that captures live meeting audio, transcribes it in real-time, and generates summaries while ensuring user privacy. Perfect for teams to focus on discussions while automatically capturing and organizing meeting content without external servers or complex infrastructure. Features include modern UI, real-time audio capture, speaker diarization, local processing for privacy, and more. The tool also offers a Rust-based implementation for better performance and native integration, with features like live transcription, speaker diarization, and a rich text editor for notes. Future plans include database connection for saving meeting minutes, improving summarization quality, and adding download options for meeting transcriptions and summaries. The backend supports multiple LLM providers through a unified interface, with configurations for Anthropic, Groq, and Ollama models. System architecture includes core components like audio capture service, transcription engine, LLM orchestrator, data services, and API layer. Prerequisites for setup include Node.js, Python, FFmpeg, and Rust. Development guidelines emphasize project structure, testing, documentation, type hints, and ESLint configuration. Contributions are welcome under the MIT License.

GPT-Subtrans is an open-source subtitle translator that utilizes large language models (LLMs) as translation services. It supports translation between any language pairs that the language model supports. Note that GPT-Subtrans requires an active internet connection, as subtitles are sent to the provider's servers for translation, and their privacy policy applies.

A curated list of Generative AI projects, tools, artworks, and models

AddaxAI is an application designed to streamline the work of ecologists dealing with camera trap images. It's an AI platform that allows you to analyse images with machine learning models for automatic detection, offering ecologists a way to save time and focus on conservation efforts.

The Awesome-LLM-Post-training repository is a curated collection of influential papers, code implementations, benchmarks, and resources related to Large Language Models (LLMs) Post-Training Methodologies. It covers various aspects of LLMs, including reasoning, decision-making, reinforcement learning, reward learning, policy optimization, explainability, multimodal agents, benchmarks, tutorials, libraries, and implementations. The repository aims to provide a comprehensive overview and resources for researchers and practitioners interested in advancing LLM technologies.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

Pluto is a development tool dedicated to helping developers **build cloud and AI applications more conveniently** , resolving issues such as the challenging deployment of AI applications and open-source models. Developers are able to write applications in familiar programming languages like **Python and TypeScript** , **directly defining and utilizing the cloud resources necessary for the application within their code base** , such as AWS SageMaker, DynamoDB, and more. Pluto automatically deduces the infrastructure resource needs of the app through **static program analysis** and proceeds to create these resources on the specified cloud platform, **simplifying the resources creation and application deployment process**.

Probe is an AI-friendly, fully local, semantic code search tool designed to power the next generation of AI coding assistants. It combines the speed of ripgrep with the code-aware parsing of tree-sitter to deliver precise results with complete code blocks, making it perfect for large codebases and AI-driven development workflows. Probe is fully local, keeping code on the user's machine without relying on external APIs. It supports multiple languages, offers various search options, and can be used in CLI mode, MCP server mode, AI chat mode, and web interface. The tool is designed to be flexible, fast, and accurate, providing developers and AI models with full context and relevant code blocks for efficient code exploration and understanding.

This solution accelerator is built on Azure Cognitive Search Service and Azure OpenAI Service to synthesize post-contact center transcripts for intelligent contact center scenarios. It converts raw transcripts into customer call summaries to extract insights around product and service performance. Key features include conversation summarization, key phrase extraction, speech-to-text transcription, sensitive information extraction, sentiment analysis, and opinion mining. The tool enables data professionals to quickly analyze call logs for improvement in contact center operations.

A virtual coach for digital photography techniques and post-processing.

Streamline your content creation with our free AI article outline generator. Transform your brainstorming, research, and writing process in seconds!

A friendly GPT that helps generate content on social media that's engaging with your followers.

Optimizes project outcomes through comprehensive post-project evaluations.

Engage in meaningful discussions on LinkedIn by effortlessly crafting comments for articles and swiftly sharing them on the platform.

Expert on postal services, providing information on mail, rates, and history.

Craft two survivors and witness their struggle in this unforgiving apocalyptic simulation. 🔥🌍💀 #NoPlayerChoices (v.1.4.0)

Get the key messages, takeaways, contrarian view from a post (link, paste text)

I create and research for top-notch LinkedIn posts

Creates 2 images for posts (1:1 & 16:9)

I write engaging and informative blog posts.

Crafts compelling X post hooks using the Disrupt formula

Etiquette expert offering advice on manners and proper conduct, in the style of Emily Post.

Expert in creating concise, SEO-friendly meta tags for blog posts.

Efficiently crafts detailed blog posts

Engaging Blog Post Idea and Timing Advisor

Rewriting Facebook posts for power and persuasion, with storytelling and CTAs.

Vibrant and visually appealing social media posts.

Sarcastic, combative, always finds the negatives.

I find guest post websites for you.