🐦 Twitter Post Details

Viewing enriched Twitter post

@llama_index

We're listening 👂LlamaSheets is in beta and we want your feedback Spreadsheets in the wild are messy—merged cells, broken layouts, headers spanning multiple rows. LlamaSheets (now in beta) extracts regions and tables from these files and outputs clean Parquet files you can actually use. What it does: · Identifies and isolates regions in your spreadsheet · Extracts them as Parquet files (load directly into pandas/polars/DuckDB) · Generates cell-level metadata (40+ features: formatting, position, data types) · Creates titles and descriptions for sheets and regions Built for the spreadsheets nobody wants to deal with manually. We need your feedback. While in beta and actively improving based on real-world use cases. Try it out and let us know what works, what doesn't, and what you need. Get started here: https://t.co/lk1reA8Yl0

View on Twitter

📊 Media Metadata

{
  "media": [
    {
      "type": "video",
      "url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/2007183675029631058/media_0.mp4?",
      "filename": "media_0.mp4"
    }
  ],
  "processed_at": "2026-01-18T17:30:13.917311",
  "pipeline_version": "2.0"
}

🔧 Raw API Response

{
  "type": "tweet",
  "id": "2007183675029631058",
  "url": "https://x.com/llama_index/status/2007183675029631058",
  "twitterUrl": "https://twitter.com/llama_index/status/2007183675029631058",
  "text": "We're listening 👂LlamaSheets is in beta and we want your feedback\n\nSpreadsheets in the wild are messy—merged cells, broken layouts, headers spanning multiple rows. LlamaSheets (now in beta) extracts regions and tables from these files and outputs clean Parquet files you can actually use.\nWhat it does:\n\n· Identifies and isolates regions in your spreadsheet\n· Extracts them as Parquet files (load directly into pandas/polars/DuckDB)\n· Generates cell-level metadata (40+ features: formatting, position, data types)\n· Creates titles and descriptions for sheets and regions\n\nBuilt for the spreadsheets nobody wants to deal with manually.\n\nWe need your feedback. While in beta and actively improving based on real-world use cases. Try it out and let us know what works, what doesn't, and what you need.\nGet started here: https://t.co/lk1reA8Yl0",
  "source": "Twitter for iPhone",
  "retweetCount": 5,
  "replyCount": 5,
  "likeCount": 33,
  "quoteCount": 2,
  "viewCount": 35356,
  "createdAt": "Fri Jan 02 20:14:14 +0000 2026",
  "lang": "en",
  "bookmarkCount": 19,
  "isReply": false,
  "inReplyToId": null,
  "conversationId": "2007183675029631058",
  "displayTextRange": [
    0,
    299
  ],
  "inReplyToUserId": null,
  "inReplyToUsername": null,
  "author": {
    "type": "user",
    "userName": "llama_index",
    "url": "https://x.com/llama_index",
    "twitterUrl": "https://twitter.com/llama_index",
    "id": "1604278358296055808",
    "name": "LlamaIndex 🦙",
    "isVerified": false,
    "isBlueVerified": true,
    "verifiedType": "Business",
    "profilePicture": "https://pbs.twimg.com/profile_images/1967920417760251904/0ytfduMQ_normal.png",
    "coverPicture": "https://pbs.twimg.com/profile_banners/1604278358296055808/1758023766",
    "description": "",
    "location": "",
    "followers": 106126,
    "following": 29,
    "status": "",
    "canDm": false,
    "canMediaTag": true,
    "createdAt": "Sun Dec 18 00:52:44 +0000 2022",
    "entities": {
      "description": {
        "urls": []
      },
      "url": {}
    },
    "fastFollowersCount": 0,
    "favouritesCount": 1467,
    "hasCustomTimelines": true,
    "isTranslator": false,
    "mediaCount": 1801,
    "statusesCount": 3684,
    "withheldInCountries": [],
    "affiliatesHighlightedLabel": {},
    "possiblySensitive": false,
    "pinnedTweetIds": [
      "2008587677680234659"
    ],
    "profile_bio": {
      "description": "AI Agents for document OCR + workflows\n\nGithub: https://t.co/HC19j7veGE\nDocs: https://t.co/QInqg2yMCJ\nLlamaCloud: https://t.co/yQGTiRSfFL",
      "entities": {
        "description": {
          "urls": [
            {
              "display_url": "github.com/run-llama/llam…",
              "expanded_url": "http://github.com/run-llama/llama_index",
              "indices": [
                48,
                71
              ],
              "url": "https://t.co/HC19j7veGE"
            },
            {
              "display_url": "docs.llamaindex.ai",
              "expanded_url": "http://docs.llamaindex.ai",
              "indices": [
                78,
                101
              ],
              "url": "https://t.co/QInqg2yMCJ"
            },
            {
              "display_url": "cloud.llamaindex.ai",
              "expanded_url": "https://cloud.llamaindex.ai/",
              "indices": [
                114,
                137
              ],
              "url": "https://t.co/yQGTiRSfFL"
            }
          ]
        },
        "url": {
          "urls": [
            {
              "display_url": "llamaindex.ai",
              "expanded_url": "https://www.llamaindex.ai/",
              "indices": [
                0,
                23
              ],
              "url": "https://t.co/epzefqPT9Z"
            }
          ]
        }
      }
    },
    "isAutomated": false,
    "automatedBy": null
  },
  "extendedEntities": {
    "media": [
      {
        "additional_media_info": {
          "monetizable": false
        },
        "display_url": "pic.twitter.com/ixbNAixcmz",
        "expanded_url": "https://twitter.com/llama_index/status/2007183675029631058/video/1",
        "ext_media_availability": {
          "status": "Available"
        },
        "id_str": "2007183623519383552",
        "indices": [
          300,
          323
        ],
        "media_key": "13_2007183623519383552",
        "media_results": {
          "id": "QXBpTWVkaWFSZXN1bHRzOgwABAoAARva8t7+2rAAAAA=",
          "result": {
            "__typename": "ApiMedia",
            "id": "QXBpTWVkaWE6DAAECgABG9ry3v7asAAAAA==",
            "media_key": "13_2007183623519383552"
          }
        },
        "media_url_https": "https://pbs.twimg.com/amplify_video_thumb/2007183623519383552/img/_QhlQX3x9dTyIPui.jpg",
        "original_info": {
          "focus_rects": [],
          "height": 720,
          "width": 1152
        },
        "sizes": {
          "large": {
            "h": 720,
            "w": 1152
          }
        },
        "type": "video",
        "url": "https://t.co/ixbNAixcmz",
        "video_info": {
          "aspect_ratio": [
            8,
            5
          ],
          "duration_millis": 30833,
          "variants": [
            {
              "content_type": "application/x-mpegURL",
              "url": "https://video.twimg.com/amplify_video/2007183623519383552/pl/ox2a5XdjMlxvDOq7.m3u8?tag=14"
            },
            {
              "bitrate": 288000,
              "content_type": "video/mp4",
              "url": "https://video.twimg.com/amplify_video/2007183623519383552/vid/avc1/432x270/dJA4pO0E5h64RXCj.mp4?tag=14"
            },
            {
              "bitrate": 832000,
              "content_type": "video/mp4",
              "url": "https://video.twimg.com/amplify_video/2007183623519383552/vid/avc1/576x360/41pIVHvzS3fhtf68.mp4?tag=14"
            },
            {
              "bitrate": 2176000,
              "content_type": "video/mp4",
              "url": "https://video.twimg.com/amplify_video/2007183623519383552/vid/avc1/1152x720/iYxpIuK4o44g4Upa.mp4?tag=14"
            }
          ]
        }
      }
    ]
  },
  "card": null,
  "place": {},
  "entities": {
    "urls": [
      {
        "display_url": "developers.llamaindex.ai/python/cloud/l…",
        "expanded_url": "https://developers.llamaindex.ai/python/cloud/llamasheets/getting_started/?utm_source=socials&utm_medium=li_social",
        "indices": [
          817,
          840
        ],
        "url": "https://t.co/lk1reA8Yl0"
      }
    ]
  },
  "quoted_tweet": null,
  "retweeted_tweet": null,
  "isLimitedReply": false,
  "article": null
}