Image + textDocuments and OCR

Qwen3-VL Resume Parser

A fine-tuned Qwen3-VL-8B reads resume pages as images and returns a 23-field JSON record. The author states plainly that the model is not meant for automated decisions about candidates; a human decides.

Developer
Sukhrob Nurali, not disclosed
First release
Feb 2026
Latest release
Feb 2026
Sizes
8B, a fine-tune of Qwen3-VL-8B-Instruct
License
Commercial use allowedApache 2.0
Russian
Not supported
Running
On your own serverNeeds a GPU
Industries
HR, Documents and accounting
Deploy on your server Hugging Face GitHub

What it does

  • Moving a resume from PDF into a candidate record
  • Filling a candidate database without manual typing
  • Parsing resumes with different layouts and styling

Where it is used

HR and recruitingStaffing agenciesDocument workflows

Hardware requirements

LaptopLaptop or regular PC, up to 8 GB of VRAM — smaller versions
no versions
1 GPUOne GPU with 16–80 GB — mid-size versions
fits
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. qwen3vl-resume-parser на базе Qwen3-VL-8B-Instruct

How to run it

On your own serverWeights are downloaded from Hugging Face and served with vLLM (load and API) or llama.cpp (modest hardware). The model then runs in a closed network with no per-request fees.Hugging Face
How much hardware you needCalculate the VRAM for the model size, context length and number of concurrent requests.Open the hardware calculator

I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems.

Frequently asked questions

Can Qwen3-VL Resume Parser be used in a commercial project?

Yes. License: Apache 2.0. It allows commercial use, but it is still worth having a lawyer review the license before launch.

What hardware does Qwen3-VL Resume Parser need?

At minimum: One GPU with 16–80 GB — mid-size versions. Without a GPU the model is not practical. You can calculate the exact VRAM for your model size and context in the hardware calculator.

Does Qwen3-VL Resume Parser support Russian?

No. The developer documentation lists the supported languages and Russian is not among them.

Where can I download Qwen3-VL Resume Parser and what does it cost?

The Qwen3-VL Resume Parser weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.

How I deploy it for clients

  1. SelectionI pick the model size for your task and hardware and test it on your examples.
  2. DeploymentI deploy it on your server or in a closed network and provide an API.
  3. Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
  4. IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.

Similar models

Text analysisNuExtractNuMind · FranceCommercial use allowed

Models for template-based data extraction: give it a document or scan and a JSON field template, get a filled-in JSON back. NuExtract3 (4B) also converts scans to Markdown.

DetailsImage + textQwen-VLAlibaba (Qwen team) · ChinaCommercial use allowed

One of the strongest open vision models: reads documents, tables, charts and video, and works with user interfaces. Since Qwen3.5, vision is built directly into the main Qwen model.

DetailsDocuments and OCRSmolDocling и Granite-DoclingIBM and Hugging Face · USACommercial use allowed

Tiny models for the open Docling document converter: they turn a page into markup with tables, formulas and code. Run on an ordinary laptop.

Details

Source: huggingface.co/sukhrobnurali/qwen3vl-resume-parser. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.