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Luma AILinkedIn

Luma Labs introduces Layers, a tool to extract and edit text from baked-in campaign images.

Source

LinkedInSep 10, 2026
likes
31
comments
3

Post

Every creative has a folder of finals they can't touch. The campaign shipped. The headline needs to change. The text is baked into the pixels. So you rebuild it in Photoshop, or regenerate and hope the rest of the image survives. Layers now pulls that text out for you. Select the layer, hit Extract, and the copy comes back as a live text layer with the closest font from the library already on it. Retype the headline. Swap the font if the match isn't right. Recompose. Everything else stays exactly where it was. It works on anything you bring into Layers: past campaigns, client files, the poster from 2023 nobody has the working file for. Your old campaigns just became working files again. Layers, powered by Uni-1. Link in the comments.

linkedin.com/posts/lumalabsai_every-creative-has-a-folder-of-finals-t...Read the full source

Extracted by Autobound

From the Signal API record
Signal
LinkedIn

What this signalsCompany posts often show what the team is pushing right now.

Domain
via lumalabs.ai

The full record

From the Signal API record

Topics and mentions

Tags

  • Product Development
  • Software
  • Digital Marketing

Initiatives

  • rebuilding past campaigns as working files

Pain points

  • difficulty editing text in baked-in campaign images
  • inability to update past campaign assets without full rebuild

Technologies named

  • Photoshop
  • Layers
  • Uni-1

Extraction

Detected
Sep 10, 2026
signal_type
linkedin-post-company
signal_subtype
linkedinPost

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This page shows a preview. The full linkedin-post-company record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/9a05b93e-03bf-42e5-a99a-3d37dcd917e7 returns this record as JSON. POST /v1/companies/enrich returns every signal for luma.ai.

{
  "signal_id": "9a05b93e-03bf-42e5-a99a-3d37dcd917e7",
  "signal_type": "linkedin-post-company",
  "signal_subtype": "linkedinPost",
  "detected_at": "2026-09-10T15:01:21.228+00:00",
  "company": {
    "name": "Luma AI",
    "domain": "lumalabs.ai"
  },
  "data": {
    "tags": [
      "Product Development",
      "Software",
      "Digital Marketing"
    ],
    "summary": "Luma Labs introduces Layers, a tool to extract and edit text from baked-in campaign images.",
    "post_url": "https://www.linkedin.com/posts/lumalabsai_every-creative-has-a-folder-of-finals-they-activity-7503829978225147905-RztS",
    "num_likes": 31,
    "post_text": "Every creative has a folder of finals they can't touch.\n\nThe campaign shipped. The headline needs to change. The text is baked into the pixels. So you rebuild it in Photoshop, or regenerate and hope the rest of the image survives.\n\nLayers now pulls that text out for you. Select the layer, hit Extract, and the copy comes back as a live text layer with the closest font from the library already on it. Retype the headline. Swap the font if the match isn't right. Recompose. Everything else stays exactly where it was.\n\nIt works on anything you bring into Layers: past campaigns, client files, the poster from 2023 nobody has the working file for.\n\nYour old campaigns just became working files again.\n\nLayers, powered by Uni-1. Link in the comments.",
    "initiatives": [
      {
        "topic": "rebuilding past campaigns as working files",
        "urgency": 0.7
      }
    ],
    "pain_points": [
      {
        "topic": "difficulty editing text in baked-in campaign images",
        "intensity": 0.7
      },
      {
        "topic": "inability to update past campaign assets without full rebuild",
        "intensity": 0.6
      }
    ],
    "posted_date": "2026-09-10T15:01:21.228Z",
    "num_comments": 3,
    "technologies_mentioned": [
      {
        "name": "Photoshop",
        "status": "using"
      },
      {
        "name": "Layers",
        "status": "implemented"
      },
      {
        "name": "Uni-1",
        "status": "building_on"
      }
    ]
  }
}

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