{
  "type": "tweet",
  "id": "2027488010640765042",
  "url": "https://x.com/tuanacelik/status/2027488010640765042",
  "twitterUrl": "https://twitter.com/tuanacelik/status/2027488010640765042",
  "text": "Since joining @llama_index, my focus has shifted from 'everything agents' to 'document agents' : agents that can handle work over all manner of complex documents. So, I tried out the latest chart parsing capabilities of LlamaParse.\n\nCharts in PDFs are notoriously painful to work with. You can see the data ) bars, axes, labels) but actually getting it into a format you can analyze means is a different matter.\n\nI tried out parsing a U.S. Treasury executive summary PDF, pulling a grouped bar chart showing Budget Deficit vs. Net Operating Cost for fiscal years 2020–2024, and turning it into a pandas DataFrame you can run analysis on (although really you can then do whatever, provide it for downstream tasks to an agent..)\n\nOnce parsed, the chart's underlying data comes back as a table in the items tree for that page. From there: grab the rows, construct a DataFrame, etc. In the example, I'm computing year-over-year changes in both metrics, measuring the gap between them across the five-year window, and just to be sure, I reproduced a bar chart that mirrors the original PDF visualization.\n\nYou can try it our here: https://t.co/8WHV4xzcDS",
  "source": "Twitter for iPhone",
  "retweetCount": 3,
  "replyCount": 1,
  "likeCount": 22,
  "quoteCount": 1,
  "viewCount": 4399,
  "createdAt": "Fri Feb 27 20:56:25 +0000 2026",
  "lang": "en",
  "bookmarkCount": 27,
  "isReply": false,
  "inReplyToId": null,
  "conversationId": "2027488010640765042",
  "displayTextRange": [
    0,
    279
  ],
  "inReplyToUserId": null,
  "inReplyToUsername": null,
  "author": {
    "type": "user",
    "userName": "tuanacelik",
    "url": "https://x.com/tuanacelik",
    "twitterUrl": "https://twitter.com/tuanacelik",
    "id": "209600624",
    "name": "Tuana",
    "isVerified": false,
    "isBlueVerified": true,
    "verifiedType": null,
    "profilePicture": "https://pbs.twimg.com/profile_images/2014255463072677889/U6Oy05f3_normal.jpg",
    "coverPicture": "https://pbs.twimg.com/profile_banners/209600624/1586942259",
    "description": "",
    "location": "Istanbul / Amsterdam",
    "followers": 6341,
    "following": 905,
    "status": "",
    "canDm": true,
    "canMediaTag": true,
    "createdAt": "Fri Oct 29 14:17:21 +0000 2010",
    "entities": {
      "description": {
        "urls": []
      },
      "url": {}
    },
    "fastFollowersCount": 0,
    "favouritesCount": 4466,
    "hasCustomTimelines": true,
    "isTranslator": false,
    "mediaCount": 274,
    "statusesCount": 1664,
    "withheldInCountries": [],
    "affiliatesHighlightedLabel": {},
    "possiblySensitive": false,
    "pinnedTweetIds": [],
    "profile_bio": {
      "description": "DevRel & AI Engineering at @llama_index from Istanbul ☀️ in Amsterdam 🚲\nPosts about AI/ML and occasionally other random tidbits.",
      "entities": {
        "description": {
          "hashtags": [],
          "symbols": [],
          "urls": [],
          "user_mentions": [
            {
              "id_str": "0",
              "indices": [
                27,
                39
              ],
              "name": "",
              "screen_name": "llama_index"
            }
          ]
        },
        "url": {
          "urls": [
            {
              "display_url": "tuana.dev",
              "expanded_url": "http://tuana.dev",
              "indices": [
                0,
                23
              ],
              "url": "https://t.co/Q6mCyyf4Ea"
            }
          ]
        }
      }
    },
    "isAutomated": false,
    "automatedBy": null
  },
  "extendedEntities": {
    "media": [
      {
        "additional_media_info": {
          "monetizable": false
        },
        "display_url": "pic.twitter.com/87l2qGOKiS",
        "expanded_url": "https://twitter.com/tuanacelik/status/2027488010640765042/video/1",
        "ext_media_availability": {
          "status": "Available"
        },
        "id_str": "2027487952708988928",
        "indices": [
          280,
          303
        ],
        "media_key": "13_2027487952708988928",
        "media_results": {
          "id": "QXBpTWVkaWFSZXN1bHRzOgwABAoAARwjFY0HmnAAAAA=",
          "result": {
            "__typename": "ApiMedia",
            "id": "QXBpTWVkaWE6DAAECgABHCMVjQeacAAAAA==",
            "media_key": "13_2027487952708988928"
          }
        },
        "media_url_https": "https://pbs.twimg.com/amplify_video_thumb/2027487952708988928/img/nu9EHuWmm8bIx_B7.jpg",
        "original_info": {
          "focus_rects": [],
          "height": 1080,
          "width": 1744
        },
        "sizes": {
          "large": {
            "h": 1080,
            "w": 1744
          }
        },
        "type": "video",
        "url": "https://t.co/87l2qGOKiS",
        "video_info": {
          "aspect_ratio": [
            218,
            135
          ],
          "duration_millis": 56200,
          "variants": [
            {
              "content_type": "application/x-mpegURL",
              "url": "https://video.twimg.com/amplify_video/2027487952708988928/pl/H4l9eDhp7tbeVxt5.m3u8?tag=14"
            },
            {
              "bitrate": 288000,
              "content_type": "video/mp4",
              "url": "https://video.twimg.com/amplify_video/2027487952708988928/vid/avc1/436x270/SiGe2WcXOPJHVwO8.mp4?tag=14"
            },
            {
              "bitrate": 832000,
              "content_type": "video/mp4",
              "url": "https://video.twimg.com/amplify_video/2027487952708988928/vid/avc1/580x360/CB3-STNuG83q09GQ.mp4?tag=14"
            },
            {
              "bitrate": 2176000,
              "content_type": "video/mp4",
              "url": "https://video.twimg.com/amplify_video/2027487952708988928/vid/avc1/1162x720/-ODpDHFKqCli-PPl.mp4?tag=14"
            }
          ]
        }
      }
    ]
  },
  "card": null,
  "place": {},
  "entities": {
    "hashtags": [],
    "symbols": [],
    "timestamps": [],
    "urls": [
      {
        "display_url": "colab.research.google.com/drive/1wr_b7JQ…",
        "expanded_url": "https://colab.research.google.com/drive/1wr_b7JQIiBk998qiaUNxpFa6RvxwZlws?usp=sharing",
        "indices": [
          1126,
          1149
        ],
        "url": "https://t.co/8WHV4xzcDS"
      }
    ],
    "user_mentions": [
      {
        "id_str": "1604278358296055808",
        "indices": [
          14,
          26
        ],
        "name": "LlamaIndex 🦙",
        "screen_name": "llama_index"
      }
    ]
  },
  "quoted_tweet": null,
  "retweeted_tweet": null,
  "isLimitedReply": false,
  "article": null
}