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Instead of doccano

doccano alternatives

doccano gives teams a free, open-source place to label text for classification, sequence labeling, and sequence-to-sequence work. It supports examples such as sentiment analysis, named-entity recognition, and summarization, while covering projects, dataset import, annotation guidelines, collaboration, and labeled-data export. REST APIs connect projects with scripts and machine-learning models. Mobile support, self-hosting, cloud deployment documentation, and installation through pip, Docker, or Docker Compose add deployment choices. Its documented scope is text-centered, and upgrading a SQLite installation can risk database loss.

  1. 1

    Label Studio

    Free plan Open source APILinuxMac+3

    Multimodal labeling with model integrations — Label Studio adds configurable workflows for text, images, audio, video, time series, and multimodal data, beyond doccano’s text-focused tasks.

    8.8 Free plan Visit site
  2. 2

    VGG Image Annotator

    Free plan Open source LinuxMacSelf-hosted+2

    Offline manual image, audio, and video annotation — VIA runs as offline single-file browser tools for manual media annotation, whereas doccano centers on collaborative text projects and APIs.

    8.5 Free plan Visit site
  3. 3

    Alibaba Cloud PAI iTAG

    Free plan APILinuxWeb+1

    Custom cloud-based multimodal labeling templates — iTAG supplies business-specific templates for image, text, video, audio, and multimodal jobs, but requires datasets in Alibaba Cloud OSS.

    7.7 Free plan Visit site
  4. 4

    BRAT

    Free plan LinuxMacSelf-hosted+1

    Structured text relations and constraint validation — brat adds relations, attributes, normalization, configurable constraints, concordance search, and structured exports to doccano’s text annotation tasks.

    7.5 Open source Visit site
  5. 5

    Roboflow

    Free plan AndroidAPIiPhone+4

    End-to-end computer-vision dataset operations — Roboflow combines image annotation with video-frame extraction, augmentation, hosted inference, and edge deployment, unlike doccano’s text-oriented workspace.

    7.1 Free plan · paid from $79/mo (annual) · 14-day trial Visit site
  6. 6

    Amazon SageMaker Autopilot

    Free plan APIWeb

    Automated model building and comparison — Autopilot automatically builds, tunes, and ranks machine-learning models instead of providing doccano’s general-purpose human annotation workspace.

    From $1.90 Visit site
  7. 7

    Argilla

    Free plan APILinuxSelf-hosted+1

    Human feedback for NLP and multimodal AI — Argilla focuses on feedback datasets with labels, ratings, rankings, suggestions, filters, and semantic search, extending beyond doccano’s annotation workflow.

    7.6 Free plan Visit site
  8. 8

    BasicAI

    Free plan APISelf-hostedWeb
    7.4 Free plan · paid from $9/user/mo Visit site
  9. 9

    CVAT

    Free plan APISelf-hostedWeb
    7.4 Free plan · paid from $23/user/mo (annual) Visit site
  10. 10
    7.1 Free plan Visit site
  11. 11

    LabelU

    Free plan APIMacSelf-hosted+2
    6.9 Open source Visit site
  12. 12

    Supervisely

    Free plan APISelf-hostedWeb
    6.8 Free plan · paid from €199/mo · 30-day trial Visit site
  13. 13

    Labelbox

    Free plan APIWeb
    6.7 Free plan Visit site
  14. 14

    V7 Darwin

    Free plan APIWeb
    6.6 Free plan · pricing on request Visit site
  15. 15

    Kili Technology

    Free trial APISelf-hostedWeb
    6.1 Pricing on request · 14-day trial Visit site
  16. 16

    Dataloop

    Paid APILinuxMac+2
    5.9 Pricing on request Visit site
  17. 17

    Encord

    Paid APISelf-hostedWeb
    5.6 Pricing on request Visit site
  18. 18

    Prodigy

    Paid APILinuxMac+3
    5.5 From $390 Visit site
  19. 19

    SuperAnnotate

    Paid APIMacWeb+1
    5.4 Pricing on request Visit site
  20. 20
    4.9 Pricing on request Visit site
  21. 21
  22. 22

    LabelLLM

    Paid Web
    4.1 Open source Visit site

Readers may seek alternatives when they need image, audio, video, multimodal, or computer-vision workflows, or a different balance of automation and human review. Compare the annotation types, model assistance, collaboration controls, storage requirements, and export formats. Deployment matters too: some options run offline, while others require a specific cloud service or hosted infrastructure. Check platform coverage, API and SDK access, security requirements, and whether free use or paid plans fit your project. A replacement should match both the data you label and the way your team organizes, reviews, and uses those labels.

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